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KPI Reference · formulas and values

How is each KPI calculated, and what is its value for this lens, scope and period?

Scope Entity A1 (own entity) Period P06 (SYN) Last refresh 06:25 (SYN) Values from data/kpi-model · 170 KPIs · calculated bottom-up (plant → entity → Group) Sources and lineage

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Lens: Entity (your sign-in). Entity A1 and its plants only (C-05). Values are recalculated for the selected scope and month from its own inputs; YTD measures run from April to the selected month.

Filter · which KPIs, lowest level calculated, source of the formula

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147 KPIs · Entity lens · Entity A1 · P06 (2026)

AnswersHow is each KPI calculated, and what is its value here?

Formula and inputs are the same at every level; the value is recalculated from Entity A1's own inputs, never averaged. Inputs show how each one rolls up (Σ = sum of children, lowest = MIN). Highlighted rows were added by the model. Click a KPI ID for what its number is saying, where the problem sits and what moves it; click a value for its full lineage.

KPI

Measure

Definition

Theme

Unit · basis

Formula

Inputs (roll-up)

Value · Entity A1 · P06

vs P05

Shown on

FIN-001

EBITDA YTD

Earnings before interest, tax, depreciation and amortisation since April: core operating profit.

₹ m · Year to date

Sum of monthly EBITDA since April ÷ 1000

ebitda_k (YTD) (Σ)

890.6 ₹ m

▲ 201.4

E-01 · E-11

FIN-002

EBIT YTD

Earnings before interest and tax since April: operating profit after depreciation.

₹ m · Year to date

Sum of monthly EBIT since April ÷ 1000

ebit_k (YTD) (Σ)

610.1 ₹ m

▲ 154.1

E-01 · E-11

FIN-003

Revenue YTD

Revenue earned since April.

₹ m · Year to date

Sum of monthly Revenue since April ÷ 1000

revenue_k (YTD) (Σ)

6,972.3 ₹ m

▲ 1,155.7

E-01 · E-11

FIN-004

Free cash flow YTD

Cash generated by the business after operating costs and capex since April.

₹ m · Year to date

Sum of monthly Free cash flow since April ÷ 1000

fcf_k (YTD) (Σ)

337.6 ₹ m

▲ 94.3

E-01 · E-11

FIN-005

ROCE, annualised

Return on capital employed: annualised operating profit as a share of the capital tied up in the business.

% · Year to date

EBIT since April × 12 ÷ months elapsed ÷ Capital employed × 100

capital_employed_k (Σ), ebit_k (YTD) (Σ)

11.1 %

▲ 1.1

E-01 · E-11

FIN-006

Net debt

Borrowings less cash held; what the business owes net of its cash.

₹ m · Month end

(Gross debt − Cash) ÷ 1000

net_debt_k (Σ)

3,610.0 ₹ m

▼ 38.0

E-05

FIN-008

FCF conversion (FCF ÷ EBITDA)

Share of EBITDA that turned into free cash flow since April.

% · Year to date

Free cash flow since April ÷ EBITDA since April × 100

ebitda_k (YTD) (Σ), fcf_k (YTD) (Σ)

37.9 %

▲ 2.6

E-05

OPS-001

Production vs plan

How much saleable output the plant made against what the production plan called for in the month.

% of plan · Month

Good output ÷ Planned production × 100

planned_production_t (Σ), good_output_t (Σ)

91.3 % of plan

▲ 2.7

E-01 · E-02 · E-05 · E-08 · S-03e · S-12e

OPS-002

Sales vs plan

How much was sold against the sales volume planned for the month.

% of plan · Month

Sales volume ÷ Planned sales volume × 100

sales_t (Σ), planned_sales_t (Σ)

89.2 % of plan

▲ 0.3

E-01 · E-08 · S-12e

OPS-003

Capacity utilization

How much of the installed capacity was turned into good output; shows spare or stretched capacity.

% · Month

Good output ÷ Installed capacity × 100

installed_capacity_t (Σ), good_output_t (Σ)

79.8 %

▲ 3.6

E-02

GOV-001

Ageing certification approvals

KPI certification approvals past their due date.

count · Month end

Certification approvals past due date

cert_approvals_ageing (Σ)

flat

E-08

GOV-002

KPI overrides

KPI values manually overridden instead of taken from source.

count · Month end

KPI values overridden

kpi_overrides (Σ)

flat

E-08

GOV-003

Recurring data-quality issues

Data-quality issues that keep coming back.

count · Month end

Recurring data-quality issues

dq_issues_recurring (Σ)

flat

E-08

GOV-004

Open audit findings

Audit findings not yet closed.

count · Month end

Open audit findings

audit_findings_open (Σ)

▼ 1

E-07 · E-08

GOV-005

Overdue assurance actions

Assurance actions past their due date.

count · Month end

Overdue assurance actions

assurance_actions_overdue (Σ)

flat

E-08

GOV-006

Repeat findings

Audit findings raised again after being closed before.

count · Month end

Repeat audit findings

repeat_findings (Σ)

flat

E-08

GOV-008

Evidence completeness rate

Share of required evidence items that have been provided.

% · Month end

Evidence items complete ÷ Evidence items required × 100

evidence_required (Σ), evidence_complete (Σ)

86.0 %

flat

E-08

GOV-009

Average finding-closure time

Average days taken to close audit findings since April.

days · Year to date

Days taken to close findings since April ÷ Findings closed since April

findings_closed (YTD) (Σ), finding_closure_days (YTD) (Σ)

28.6 days

▲ 0.2

E-08

TRU-001

Certified KPI percentage

Share of reported leadership KPI values that have been certified.

% · Month end

Leadership KPI values certified ÷ Leadership KPI values reported × 100

kpis_leadership (Σ), kpis_certified (Σ)

82.1 %

flat

E-08

TRU-004

Open reconciliation breaks

Reconciliation breaks between systems not yet resolved.

count · Month end

Open reconciliation breaks

recon_breaks_open (Σ)

flat

E-08

TRU-006

Overdue certifications

Certifications past their due date.

count · Month end

Certifications overdue

certifications_overdue (Σ)

flat

E-08

TRU-008

Source-to-Lake reconciliation rate

Share of records loaded to the data lake that reconcile to the source system.

% · Month

Records reconciled to source ÷ Records loaded × 100

lake_records_loaded (Σ), lake_records_reconciled (Σ)

98.9 %

▼ 0.5

E-08

TRU-009

Flash-to-MIS reconciliation rate

Share of flash-report lines that match the MIS.

% · Month

Flash lines matching MIS ÷ Flash report lines × 100

mis_lines_total (Σ), mis_lines_matched (Σ)

94.3 %

▼ 1.3

E-08

TRU-010

Flash-to-close variance

Gap between flash revenue and closed revenue.

% · Month

|Flash revenue − Closed revenue| ÷ Closed revenue × 100

revenue_k (Σ), flash_revenue_k (Σ)

0.23 %

▼ 0.11

E-08

TRU-011

Largest entity variance against Board numbers

The largest gap, across entities, between Board-pack EBITDA and certified EBITDA.

% · Month

Highest of the entities' |Board-pack EBITDA − Certified EBITDA| ÷ Certified EBITDA × 100

variable_cost_k (Σ), fixed_cost_k (Σ), revenue_k (Σ), overhead_k (Σ), board_ebitda_k (Σ)

0.3 %

flat

E-08

PRD-001

Days to breach (earliest plant)

Forecast days until the first plant misses its production plan.

days · Forecast

Lowest plant forecast of days until its production plan is breached (99 = not expected)

days_to_breach (lowest)

4 days

▼ 6

E-01 · E-04 · S-12e

PRD-002

Probability of production plan miss, next month

Forecast chance that next month's output falls below plan.

% · Next month

Chance that output falls below plan: normal distribution with mean = Forecast good output, spread = √(sum of plant forecast variances)

planned_production_next_t (Σ), forecast_good_next_t (Σ), forecast_good_var_next (Σ)

79.4 %

▲ 6.6

S-12e

PRD-003

Projected EBITDA gap, rest of year

Forecast gap between expected and planned EBITDA for the rest of the year.

₹ m · Forecast

(Forecast EBITDA − Planned EBITDA, rest of year) ÷ 1000

forecast_ebitda_rest_k (Σ), planned_ebitda_rest_k (Σ)

-48.5 ₹ m

▼ 17.6

S-12e

PRD-004

Projected liquidity gap, next 90 days

Forecast cash shortfall over the next 90 days, if any.

₹ m · Next 90 days

Cash + Undrawn facilities + Forecast net cash flow (90 days); 'None' if not negative

cash_k (Σ), undrawn_facilities_k (Σ), forecast_net_cash_flow_90d_k (Σ)

None within 90 d

—

S-12e

PRD-005

Forecast covenant breach

Whether forecast leverage breaches the lenders' covenant limit.

count · Quarter end

Breach forecast if Forecast net debt ÷ Forecast 12-month EBITDA exceeds the covenant limit

forecast_net_debt_k (Σ), forecast_ebitda_ltm_k (Σ)

Not forecast

—

S-12e

PRD-006

Production loss from downtime, next month

Forecast output lost to downtime next month.

kt · Next month

Forecast production lost to downtime next month ÷ 1000

forecast_downtime_loss_next_t (Σ)

22.3 kt

▲ 5.7

S-12e

PRD-008

Projected FCF gap, full year

Forecast gap between full-year free cash flow and plan.

₹ m · Forecast

(FCF YTD + forecast FCF rest of year − FY FCF plan) ÷ 1000

fcf_k (YTD) (Σ), fcf_plan_fy_k (Σ), forecast_fcf_rest_k (Σ)

-101.3 ₹ m

▼ 10.8

E-05 · E-11 · S-12e

PRD-009

ROCE at P12 (forecast)

Forecast return on capital employed at year end (P12).

% · Forecast

(EBIT YTD + forecast EBIT rest of year) ÷ forecast capital employed at P12 × 100

capital_employed_p12_k (Σ), ebit_fcst_rest_k (Σ), ebit_k (YTD) (Σ)

10.5 %

▲ 1.1

E-11 · S-12e

PRD-010

Revenue per FTE YTD

Revenue since April per full-time employee.

₹ m · Year to date

Revenue since April ÷ FTE ÷ 1000

fte (Σ), revenue_k (YTD) (Σ)

5.17 ₹ m

▲ 0.84

E-11

PRD-011

Tonnes per FTE

Good output per full-time employee in the month.

t · Month

Good output ÷ FTE

fte (Σ), good_output_t (Σ)

235 t

▲ 2

E-11

PRD-012

Probability of EBITDA plan miss, full year

Forecast chance that full-year EBITDA misses plan.

% · Forecast

P(FY EBITDA < FY plan), FY EBITDA ~ Normal(EBITDA YTD + forecast rest of year, σ)

ebitda_fy_sigma_k (√Σσ²), ebitda_k (YTD) (Σ), ebitda_plan_fy_k (Σ), forecast_ebitda_rest_k (Σ)

80.4 %

flat

E-11 · S-12e

SIG-001

Unplanned downtime (same measure as REL-003 Unplanned downtime) (= REL-003 Unplanned downtime)

Hours of production lost to stoppages that were not planned.

h · Month

Alias of REL-003: same value

unplanned_downtime_hours (Σ)

120.7 h

▲ 24.5

S-12e

SIG-002

Yield (same measure as PLT-005 Yield) (= PLT-005 Yield)

Share of feed material that comes out as good, saleable output.

% · Month

Alias of PLT-005: same value

good_output_t (Σ), feed_input_t (Σ)

91.5 %

▲ 0.3

E-02 · S-12e

SIG-003

Recovery percentage (same measure as PLT-004 Recovery percentage) (= PLT-004 Recovery percentage)

Share of the valuable content in the feed that the process recovers into product.

% · Month

Alias of PLT-004: same value

feed_contained_t (Σ), recovered_contained_t (Σ)

87.5 %

▲ 0.5

E-02 · S-12e

SIG-004

Collections slippage

Average number of days customers pay later than their agreed payment terms.

days · Month

(Days taken to collect − Agreed payment terms) ÷ Invoices collected (average days late)

invoices_collected (Σ), collection_days (Σ), terms_days (Σ)

1.9 days

▼ 0.3

E-05 · S-12e

SIG-005

Payment delays

Number of customers more than 30 days overdue on payment.

customers · Month end

Customers more than 30 days overdue

customers_overdue (Σ)

2 customers

flat

E-05 · S-12e

SIG-007

Production at risk

Tonnes of planned output threatened by current plant, supply or maintenance issues.

kt · Month

Production at risk

production_at_risk_t (Σ)

30.9 kt

▼ 7.3

E-01 · E-02 · E-05 · S-12e

SIG-008

Critical plant-state alerts

Number of open critical alerts about plant condition.

alerts · Month

Critical plant alerts

critical_plant_alerts (Σ)

5 alerts

▼ 2

E-03 · S-12e

SIG-009

Critical-material shortage risk

Number of critical materials at risk of running short before the next delivery.

materials · Month

Critical materials at risk

critical_material_risks (Σ)

4 materials

▲ 1

E-01 · E-04 · S-12e

SIG-010

Single-source supply risk

Single-source suppliers whose stock cover is shorter than their resupply lead time.

suppliers · Month end

Single-source suppliers with cover below lead time

single_source_elevated (Σ)

1 suppliers

flat

E-01 · E-04 · S-12e

SIG-011

Capex value at risk

Budget value of capex projects flagged as at risk of overrun or delay.

₹ m · Month end

Budget of projects at risk ÷ 1000

capex_at_risk_k (Σ)

20.8 ₹ m

▼ 0.8

E-06 · S-12e

SIG-012

Dispatch delays

Share of customer dispatches that left late.

% late · Month

Delayed dispatches ÷ Dispatches × 100

dispatches_total (Σ), dispatches_delayed (Σ)

10.9 % late

▲ 0.8

E-05 · S-12e

SIG-013

Pricing pressure

How far realised selling prices are running below plan, graded Low, Medium or High.

count · Month

Realised price vs plan: Low if above −1%, Medium down to −3%, High below −3%

price_vs_plan_pct (CALC)

Low (-0.9% vs plan price)

—

S-12e

SIG-014

Commodity-price movement (RM-1 index)

Month-on-month change in the main raw-material price index.

% MoM · Month

RM-1 price index ÷ last month's index − 1, as %

rm1_price_index (same value)

2.1 % MoM

▲ 1.3

S-12e

SIG-015

FX exposure, unhedged (same measure as TRS-001 FX exposure, unhedged) (= TRS-001 FX exposure, unhedged)

Foreign-currency exposure not covered by hedges.

₹ m · Month end

Alias of TRS-001: same value

fx_exposure_k (Σ), fx_hedged_k (Σ)

123.3 ₹ m

▼ 7.9

S-12e

SIG-016

Freight exposure (lanes disrupted)

Number of supply lanes currently flagged as disrupted.

lanes · Month end

Supply lanes with a disruption flag

freight_lanes_disrupted (Σ)

1 lanes

▲ 1

S-12e

SIG-017

Fuel exposure (fuel cost per tonne, MoM)

Month-on-month change in fuel cost per tonne of output.

% MoM · Month

(Fuel cost ÷ good output) ÷ last month's − 1, as %

fuel_cost_k (Σ), good_output_t (Σ)

-27.7 % MoM

▼ 50.4

E-02 · S-12e

SIG-018

Power-cost exposure (power cost per tonne, MoM)

Month-on-month change in power cost per tonne of output.

% MoM · Month

(Power cost ÷ good output) ÷ last month's − 1, as %

good_output_t (Σ), power_cost_k (Σ)

-10.6 % MoM

▼ 32.6

E-02 · S-12e

SIG-019

Regulatory deadlines, next 30 days (same measure as REG-002 Regulatory deadlines, next 30 days) (= REG-002 Regulatory deadlines, next 30 days)

Regulatory deadlines that fall in the next 30 days.

count · Month end

Alias of REG-002: same value

reg_deadlines_30d (Σ)

▲ 2

S-12e

SIG-020

Licence expirations, next 12 months (same measure as REG-003 Licence expirations, next 12 months) (= REG-003 Licence expirations, next 12 months)

Licences that expire in the next 12 months.

count · Month end

Alias of REG-003: same value

licences_expiring_12m (Σ)

flat

S-12e

SIG-021

Environmental violations

Number of breaches of environmental permits or limits.

count · Month

Environmental violations

env_violations (Σ)

flat

E-02 · E-07 · S-12e

CSH-001

Cash position

Cash held at month end.

₹ m · Month end

Cash ÷ 1000

cash_k (Σ)

967.1 ₹ m

▲ 76.6

E-05

CSH-002

Cash released YTD

Cash freed up since April by working-capital and other cash initiatives.

₹ m · Year to date

Sum of cash released since April ÷ 1000

cash_released_k (YTD) (Σ)

4.2 ₹ m

▲ 0.8

E-05

CSH-003

Daily collections

Average cash collected from customers per day in the month.

₹ m/day · Month

Cash collected ÷ Days in month ÷ 1000

collections_k (Σ)

38.6 ₹ m/day

▲ 0.8

E-01 · E-05 · E-08

CSH-004

Cash-conversion cycle

Days between paying suppliers and collecting from customers (DSO + inventory days − DPO). Shorter frees cash.

days · Month end

DSO + Inventory days − DPO

dso_d (CALC), dpo_d (CALC), dio_d (CALC)

52.3 days

▼ 1.1

E-05

CSH-006

Cash-upstream exposure

Cash an entity must send up to the Group that its available cash does not cover.

₹ m · Next 30 days

(Cash due to be upstreamed − Amount covered by available cash) ÷ 1000

upstream_due_k (Σ), upstream_covered_k (Σ)

27.2 ₹ m

▲ 1.6

E-01 · E-05

LIQ-001

Liquidity runway

How many months cash and undrawn facilities would cover fixed costs, overheads and debt service.

months · Month end

(Cash + Undrawn facilities) ÷ (Fixed cost + Overheads + Debt service) per month

fixed_cost_k (Σ), overhead_k (Σ), cash_k (Σ), undrawn_facilities_k (Σ), debt_service_k (Σ)

15.4 months

▲ 1.1

E-05

LIQ-002

Covenant headroom

How far leverage (net debt ÷ annualised EBITDA) sits below the lenders' covenant limit, as a share of the limit.

% · Month end

(Covenant limit − Net debt ÷ Annualised EBITDA) ÷ Covenant limit × 100

net_debt_k (Σ), ebitda_annualised_k (Σ)

18.9 %

▲ 7.2

E-05 · S-12e

LIQ-003

Debt-maturity exposure, next 12 months

Debt that must be repaid or refinanced in the next 12 months.

₹ m · Month end

Debt maturing in next 12 months ÷ 1000

debt_maturing_12m_k (Σ)

486.3 ₹ m

▲ 56.3

E-05

LIQ-004

Financing exposure (floating-rate debt)

Debt on floating interest rates, exposed to rate rises.

₹ m · Month end

Floating-rate debt ÷ 1000

floating_rate_debt_k (Σ)

1,440.7 ₹ m

▲ 6.2

E-05

TRS-001

FX exposure, unhedged

Foreign-currency exposure not covered by hedges.

₹ m · Month end

(Foreign-currency exposure − Amount hedged) ÷ 1000

fx_exposure_k (Σ), fx_hedged_k (Σ)

123.3 ₹ m

▼ 7.9

E-05

TRS-002

Hedging effectiveness

How closely hedge value changes offset the value changes of the items they protect.

% · Month

Change in value of hedges ÷ Change in value of hedged items × 100

hedge_value_change_k (Σ), hedged_item_value_change_k (Σ)

91.6 %

▼ 1.3

E-05

TRS-003

USD share of unhedged FX exposure

Share of the unhedged foreign-currency exposure that is in US dollars.

% · Month end

(USD exposure − USD hedged) ÷ (FX exposure − FX hedged) × 100

fx_exposure_k (Σ), fx_hedged_k (Σ), usd_exposure_k (Σ), usd_hedged_k (Σ)

80.5 %

▲ 11.9

E-05

TRS-004

Hedge cover, next 6 months

Share of forecast foreign-currency flows over the next 6 months already hedged.

% · Next 6 months

Foreign-currency flows hedged ÷ Forecast foreign-currency flows, next 6 months × 100

fx_flows_6m_k (Σ), fx_hedged_6m_k (Σ)

77.9 %

▲ 0.1

E-05

TRS-005

FX sensitivity, 5% USD move

Rupee impact of a 5% move in the US dollar on the unhedged exposure.

₹ m · Month end

5% × (USD exposure − USD hedged) ÷ 1000

usd_exposure_k (Σ), usd_hedged_k (Σ)

5.0 ₹ m

▲ 0.5

E-05

WCP-001

DSO

Days sales outstanding: how many days of revenue are waiting to be collected from customers.

days · Month end

Trade receivables ÷ Revenue × Days in month

dso_d (CALC)

52.0 days

▲ 1.0

E-01 · E-05

WCP-002

DPO

Days payables outstanding: how many days of spend are owed to suppliers.

days · Month end

Trade payables ÷ Variable cost × Days in month

dpo_d (CALC)

40.2 days

▲ 1.8

E-05

WCP-003

Inventory days

How many days of production cost are held as inventory.

days · Month end

Inventory ÷ Variable cost × Days in month

dio_d (CALC)

40.5 days

▼ 0.4

E-05

WCP-004

Net working capital

Cash tied up in operations: receivables plus inventory minus payables.

₹ m · Month end

(Trade receivables + Inventory − Trade payables) ÷ 1000

nwc_k (Σ)

2,012.2 ₹ m

▼ 9.2

E-05

WCP-005

Working-capital movement

Change in net working capital on last month; positive means more cash tied up.

₹ m · Month

(Net working capital − last month's net working capital) ÷ 1000; positive = cash tied up

nwc_change_k (Σ)

-9.2 ₹ m

▼ 38.5

E-05

WCP-006

Working-capital days

Net working capital expressed as days of revenue.

days · Month end

Net working capital ÷ Revenue × Days in month

revenue_k (Σ), nwc_k (Σ)

52.2 days

▼ 0.8

E-05

CST-001

Cost per tonne

Total production cost (variable plus fixed) for each tonne of good output.

₹/t · Month

(Variable cost + Fixed cost) × 1000 ÷ Good output

good_output_t (Σ), variable_cost_k (Σ), fixed_cost_k (Σ)

2,853 ₹/t

▼ 313

E-02 · E-11

CST-002

Variable cost

Costs that move with production volume: raw materials, power, fuel and consumables.

₹ m · Month

Variable cost

variable_cost_k (Σ)

900.1 ₹ m

▼ 85.8

E-02 · E-11

CST-003

Fuel cost

Spend on fuel in the month.

₹ m · Month

Fuel cost

fuel_cost_k (Σ)

218.7 ₹ m

▼ 79.6

E-02

CST-004

Power cost per tonne

Power cost for each tonne of good output.

₹/t · Month

Power cost × 1000 ÷ Good output

good_output_t (Σ), power_cost_k (Σ)

176 ₹/t

▼ 21

E-02

CST-005

Fixed cost YTD

Costs that do not move with volume (staff, rent, fixed maintenance), summed since April.

₹ m · Year to date

Sum of monthly fixed cost since April ÷ 1000

fixed_cost_k (YTD) (Σ)

21.4 ₹ m

▲ 3.8

E-02 · E-11

OPS-005

Capacity utilisation (same measure as OPS-003 Capacity utilization) (= OPS-003 Capacity utilization)

How much of the installed capacity was turned into good output; shows spare or stretched capacity.

% · Month

Good output ÷ Installed capacity × 100

installed_capacity_t (Σ), good_output_t (Σ)

79.8 %

▲ 3.6

E-01

PLT-001

Asset utilization

Share of all calendar hours the equipment was actually running.

% · Month

Run hours ÷ Calendar hours × 100

calendar_hours (Σ), run_hours (Σ)

91.9 %

▲ 1.1

E-02

PLT-002

OEE

Overall equipment effectiveness: good output as a share of what the line could ideally make, combining availability, speed and quality losses.

% · Month

Availability × Performance × Quality = Good output ÷ Ideal output × 100

ideal_output_t (Σ), good_output_t (Σ)

80.2 %

▲ 1.5

E-02

PLT-004

Recovery percentage

Share of the valuable content in the feed that the process recovers into product.

% · Month

Valuable content recovered ÷ Valuable content in feed × 100

feed_contained_t (Σ), recovered_contained_t (Σ)

87.5 %

▲ 0.5

E-02

PLT-005

Yield

Share of feed material that comes out as good, saleable output.

% · Month

Good output ÷ Feed input × 100

good_output_t (Σ), feed_input_t (Σ)

91.5 %

▲ 0.3

E-02

REL-001

MTBF

Mean time between failures: average run hours between breakdowns. Higher means more reliable equipment.

h · Month

Run hours ÷ Breakdowns

run_hours (Σ), failures (Σ)

165 h

▼ 37

E-03

REL-002

Mean Time to Repair

Mean time to repair: average hours to restore equipment after a breakdown.

h · Month

Repair hours ÷ Breakdowns

failures (Σ), repair_hours (Σ)

8.2 h

▲ 0.1

E-03

REL-003

Unplanned downtime

Hours of production lost to stoppages that were not planned.

h · Month

Unplanned downtime

unplanned_downtime_hours (Σ)

121 h

▲ 25

E-03

REL-004

Production loss from downtime

Tonnes of output lost because equipment was down when it should have been running.

kt · Month

Production lost to downtime

prod_loss_downtime_t (Σ)

21.7 kt

▲ 3.6

E-03

REL-005

Preventive-maintenance compliance

Share of scheduled preventive-maintenance jobs completed on time.

% · Month

Preventive maintenance completed ÷ Preventive maintenance scheduled × 100

pm_scheduled (Σ), pm_completed (Σ)

93.4 %

▼ 4.0

E-03

SUP-001

Supplier on-time delivery

Share of purchase-order lines suppliers delivered on time.

% · Month

Purchase-order lines on time ÷ Lines due × 100

po_lines_due (Σ), po_lines_on_time (Σ)

90.4 %

▲ 1.5

E-04

SUP-002

Supplier fill rate

Share of the ordered quantity suppliers actually delivered.

% · Month

Quantity received ÷ Quantity ordered × 100

qty_ordered_t (Σ), qty_received_t (Σ)

97.0 %

▲ 0.1

E-04

SUP-003

Supplier quality-rejection rate

Share of received quantity rejected for quality.

% · Month

Quantity rejected ÷ Quantity received × 100

qty_received_t (Σ), qty_rejected_t (Σ)

0.97 %

▼ 0.62

E-04

SUP-004

Supplier lead-time variance

How much actual supplier lead times exceed planned lead times, as a percentage.

% · Month

(Actual lead time − Planned lead time) ÷ Planned lead time × 100

lead_time_planned_days (Σ), lead_time_actual_days (Σ)

6.9 %

▲ 1.9

E-04

SUP-005

Critical supplier exposure

Number of critical suppliers with no alternative source.

count · Month end

Critical single-source suppliers

single_source_suppliers (Σ)

flat

E-04

SUP-006

Contractor slippage

Average days late per contractor milestone due.

days · Month

Contractor days late ÷ Contractor milestones due (average days late per milestone)

contractor_milestones_due (Σ), contractor_days_late (Σ)

2.5 days

▼ 0.5

E-04 · E-06

SUS-001

Water usage

Volume of water drawn for operations in the month.

'000 m³ · Month

Water used

water_m3 (Σ)

741.3 '000 m³

▲ 67.9

E-02 · E-07

SUS-002

Emissions

Greenhouse-gas emissions from operations, in tonnes of CO2 equivalent.

kt CO2e · Month

Emissions

emissions_tco2e (Σ)

219.5 kt CO2e

▲ 3.1

E-02 · E-07

SUS-003

Energy intensity

Energy used for each tonne of good output; lower means more energy-efficient production.

GJ/t · Month

Energy used ÷ Good output

good_output_t (Σ), energy_gj (Σ)

3.61 GJ/t

▲ 0.01

E-02 · E-07

CPX-001

Approved capex budget

Capital-expenditure budget approved for the year.

₹ m · Full year

Approved capex budget ÷ 1000

capex_budget_k (Σ)

1,000.0 ₹ m

flat

E-06

CPX-002

Committed capex

Capex committed through orders and contracts to date.

₹ m · To date

Capex committed to date ÷ 1000

capex_committed_k (Σ)

722.6 ₹ m

▲ 51.1

E-06

CPX-003

Capex actual spend YTD

Capex actually spent since April.

₹ m · Year to date

Sum of capex spent since April ÷ 1000

capex_spend_k (YTD) (Σ)

468.1 ₹ m

▲ 79.2

E-06

CPX-004

Capex physical progress, weighted

Physical completion of capex projects, weighted by each project's budget.

% weighted · To date

Work completed valued at budget ÷ Approved budget × 100 (weights each project by its budget)

capex_budget_k (Σ), capex_earned_value_k (Σ)

59.0 % weighted

▲ 4.2

E-06

PRG-002

Benefits realisation

Share of planned programme benefits actually delivered since April.

% of plan · Year to date

Benefits delivered since April ÷ Benefits planned since April × 100

benefits_planned_k (YTD) (Σ), benefits_delivered_k (YTD) (Σ)

69.3 % of plan

▼ 0.6

E-06

PRG-003

Delayed projects

Number of capex projects running behind schedule.

count · Month end

Capex projects delayed

projects_delayed (Σ)

flat

E-06

PRG-004

Capex / transformation progress (same measure as STR-002 Transformation progress) (= STR-002 Transformation progress)

Share of planned transformation milestones completed.

% · To date

Transformation milestones completed ÷ Milestones in plan × 100

milestones_total (Σ), milestones_done (Σ)

53.3 %

▲ 3.3

E-01

PRG-005

Transformation initiative status

Number of transformation initiatives in each status.

count · Month end

Count of transformation initiatives by status

initiatives_on_track (Σ), initiatives_at_risk (Σ), initiatives_delayed (Σ)

5 on track · 2 at risk · 1 delayed

—

E-06

VAL-001

EBITDA benefit YTD

EBITDA improvement delivered by value-creation initiatives since April.

₹ m · Year to date

Sum of EBITDA benefit since April ÷ 1000

ebitda_benefit_k (YTD) (Σ)

6.2 ₹ m

▲ 1.1

E-06

VAL-002

Cash benefit YTD

Cash improvement delivered by value-creation initiatives since April.

₹ m · Year to date

Sum of cash benefit since April ÷ 1000

cash_benefit_k (YTD) (Σ)

2.4 ₹ m

▲ 0.4

E-06

VAL-003

Cost savings delivered YTD

Cost savings delivered by initiatives since April.

₹ m · Year to date

Sum of cost savings since April ÷ 1000

cost_savings_k (YTD) (Σ)

3.9 ₹ m

▲ 0.6

E-06

CMP-005

Regulatory breaches YTD (same measure as REG-010 Regulatory breaches YTD) (= REG-010 Regulatory breaches YTD)

Number of regulatory breaches since April.

count · Year to date

Sum of regulatory breaches since April

reg_breaches (YTD) (Σ)

flat

E-01

CON-001

Contracts expiring, next 90 days

Contracts that expire in the next 90 days.

count · Month end

Contracts expiring in next 90 days

contracts_expiring_90d (Σ)

flat

E-04 · E-07

CON-002

Contract-compliance rate

Share of active contracts fully meeting their terms.

% · Month end

Contracts fully compliant ÷ Active contracts × 100

contracts_total (Σ), contracts_compliant (Σ)

95.8 %

▲ 1.4

E-04 · E-07

CON-003

Supplier EHS non-compliance

Suppliers not meeting EHS requirements.

count · Month end

Suppliers not meeting EHS requirements

supplier_ehs_noncompliance (Σ)

flat

E-04 · E-07

CTL-002

Control failures YTD

Internal-control tests that failed since April.

count · Year to date

Sum of control failures since April

control_failures (YTD) (Σ)

flat

E-07

CTL-005

Policy exceptions YTD

Approved departures from policy since April.

count · Year to date

Sum of policy exceptions since April

policy_exceptions (YTD) (Σ)

▲ 1

E-07

CTL-006

Unauthorised-vendor usage YTD

Purchases from vendors not on the approved list since April.

count · Year to date

Sum of unauthorised vendor uses since April

unauthorized_vendor_uses (YTD) (Σ)

flat

E-07

CTL-007

Segregation-of-duties exceptions YTD

Cases since April where one person held duties that should be split.

count · Year to date

Sum of segregation-of-duties exceptions since April

sod_exceptions (YTD) (Σ)

flat

E-07

CTL-008

Unauthorised-access events YTD

Access to systems or data by people not authorised, since April.

count · Year to date

Sum of unauthorised access events since April

unauthorized_access_events (YTD) (Σ)

flat

E-07

CTL-009

Data-sharing exceptions YTD

Data shared outside agreed rules since April.

count · Year to date

Sum of data-sharing exceptions since April

data_sharing_exceptions (YTD) (Σ)

flat

E-07

CTL-010

Manual overrides YTD

Manual overrides of operational or system controls since April.

count · Year to date

Sum of manual operational or system overrides since April

manual_overrides (YTD) (Σ)

▲ 1

E-07

EHS-001

TRIR

Total recordable injury rate: recordable injuries per 200,000 hours worked (about 100 people for a year).

per 200k h · Month

Recordable injuries × 200,000 ÷ Hours worked

hours_worked (Σ), recordable_injuries (Σ)

0.91 per 200k h

▼ 1.16

E-07

EHS-002

Severity incidents

Number of incidents classed as high severity.

count · Month

Severity incidents

severity_incidents (Σ)

flat

E-07

EHS-003

Near misses

Events that could have caused harm but did not; a leading indicator of safety risk.

count · Month

Near misses

near_misses (Σ)

▲ 1

E-07

EHS-004

Critical safety incidents

Number of incidents classed as critical to safety.

count · Month

Critical safety incidents

critical_safety_incidents (Σ)

▼ 1

E-07

EHS-005

Environmental excursions

Number of times environmental limits were exceeded.

count · Month

Environmental excursions

env_excursions (Σ)

▲ 1

E-02 · E-07 · S-12e

EHS-006

Open EHS corrective actions

EHS corrective actions raised and not yet closed.

count · Month

Open EHS corrective actions

ehs_ca_open (Σ)

▲ 10

E-07

EHS-007

Overdue EHS actions

EHS corrective actions past their due date.

count · Month

Overdue EHS corrective actions

ehs_ca_overdue (Σ)

▲ 6

E-07 · S-12e

EHS-008

EHS escalation clocks running

Number of EHS escalation deadlines currently counting down.

count · Month end

EHS escalation clocks running

ehs_escalation_clocks (Σ)

flat

E-07

EHS-009

EHS investigation completion

Share of EHS investigations due this month that were completed.

% · Month

EHS investigations completed ÷ EHS investigations due × 100 (100 if none due)

investigations_due (Σ), investigations_completed (Σ)

75 %

▲ 8

E-07

REG-001

Pending filings

Regulatory filings due and not yet submitted.

count · Month end

Regulatory filings pending

pending_filings (Σ)

flat

E-07

REG-002

Regulatory deadlines, next 30 days

Regulatory deadlines that fall in the next 30 days.

count · Month end

Regulatory deadlines in next 30 days

reg_deadlines_30d (Σ)

▲ 2

E-07

REG-003

Licence expirations, next 12 months

Licences that expire in the next 12 months.

count · Month end

Licences expiring in next 12 months

licences_expiring_12m (Σ)

flat

E-07

REG-004

Regulatory obligations due, next 30 days

Regulatory obligations that fall due in the next 30 days.

count · Month end

Regulatory obligations due in next 30 days

reg_obligations_due_30d (Σ)

▼ 1

E-07

REG-005

Overdue regulatory obligations

Regulatory obligations already past their due date.

count · Month end

Regulatory obligations overdue

reg_obligations_overdue (Σ)

flat

E-07

REG-006

Licence or permit expiry clock

Days until the earliest licence or permit expires at any plant.

days · Month

Days to permit expiry (lowest plant)

permit_days_to_expiry (lowest)

65 days

▼ 30

E-07 · S-12e

REG-007

Open regulatory actions

Actions required by regulators that are still open.

count · Month end

Open regulatory actions

reg_actions_open (Σ)

flat

E-07

REG-008

Overdue compliance actions

Compliance actions past their due date.

count · Month end

Overdue compliance actions

compliance_actions_overdue (Σ)

flat

E-07

REG-010

Regulatory breaches YTD

Number of regulatory breaches since April.

count · Year to date

Sum of regulatory breaches since April

reg_breaches (YTD) (Σ)

flat

E-07

REG-011

Disclosure clock, hours remaining

Hours left before the nearest open disclosure deadline.

h remaining · Month end

Hours to the nearest open disclosure deadline (999 = none running)

disclosure_deadline_h (lowest)

38 h remaining

▼ 961

E-07

EFF-002

Open critical alerts

Critical alerts not yet resolved.

count · Month end

Open critical alerts

critical_alerts_open (Σ)

flat

E-01 · E-09

EFF-007

Overdue actions

Actions past their due date.

count · Month end

Overdue actions

actions_overdue (Σ)

flat

E-01 · E-09

EFF-008

Average resolution time

Average days from raising an alert to resolving it.

days · Month

Days taken to resolve alerts ÷ Alerts resolved

alerts_resolved (Σ), alert_resolution_days (Σ)

2.8 days

▼ 0.3

E-09

EFF-009

Closed escalations, last 30 days

Escalations closed in the last 30 days.

count · Month

Escalations closed in the month

escalations_closed (Σ)

flat

E-09

EFF-010

Repeat issues, last 90 days

Issues that recurred in the last 90 days.

count · Last 3 months

Sum of repeat issues over the last 3 months

repeat_issues (Σ)

flat

E-09

EFF-011

Root causes eliminated YTD

Root causes eliminated since April, against those identified.

count · Year to date

Root causes eliminated since April, of those identified since April

root_causes_identified (YTD) (Σ), root_causes_eliminated (YTD) (Σ)

4 of 4

—

E-09