IAS 36 · Energy & Utilities

Impairment Calculator
for Energy & Utilities

Calculate value in use for power generation assets, grid infrastructure, renewable energy projects, and exploration and evaluation CGUs. Built for the long-life, capital-heavy asset profiles in energy and utilities.

IAS 36 · LIVEv2026.04DCF

Impairment testing, audit-ready.
Not just calculated.

Session
0x65B5
Period
FY 2026
Rate
inputs.conf
dcf.model
README.md
01// engagement— IAS 36.126
02entity_name=
03cgu_name=
04reporting_period=
07// asset— IAS 36.6 · .80-81
08carrying_amount=
CGU / goodwill allocation — tick any met (IAS 36.80-81):
10
11
12
13
14
16cgu.rationale=
CGU + goodwill allocation rationale (IAS 36.80-81)
18// discount_model— IAS 36.55-57
19pre_tax_discount_rate=%
20terminal_growth_rate=%
21forecast_years=
IAS 36.33
Rate derivation factors (IAS 36.55-57 / A17-A21):
23
24
25
26
27
29rate.rationale=
Discount rate derivation · WACC + gross-up (IAS 36.55-57)
32// cash_flows— IAS 36.33-38 · net
33cf_year_1=
34cf_year_2=
35cf_year_3=
36cf_year_4=
37cf_year_5=
40// cash_flow_basis— IAS 36.33-38 · forecast rigour
Forecast basis complies with (tick each confirmed):
41
42
43
44
45
46
47
48forecast.rationale=
Cash flow forecast basis (IAS 36.33-38)
52// impairment_indicators— IAS 36.12
External sources
53IAS 36.12(a)
54IAS 36.12(b)
55IAS 36.12(c)
56IAS 36.12(d)
Internal sources
57IAS 36.12(e)
58IAS 36.12(f)
59IAS 36.12(g)
60indicators.narrative=
Impairment indicators · external + internal (IAS 36.12)
64// fvlcd— IAS 36.18-19 · IFRS 13
65fvlcd_mode=
66fvlcd_amount=
67fair_value_level=
68fvlcd.rationale=
FVLCD · IAS 36.18-19 + IFRS 13 hierarchy
72// prior_year_comparison— year-on-year VIU trend
73prior_year_viu=
Enter prior year VIU to see year-on-year trend.
Prior year VIU comparison · trend
76// sensitivity_analysis— IAS 36.134(f) · rate × growth
Enter DCF inputs to compute the sensitivity grid.
Sensitivity analysis · rate × growth grid (IAS 36.134(f))
82// risk_warnings— rule engine · ISA 540
Enter DCF inputs to run risk analysis.
Risk warnings · 7-rule engine (ISA 540)
88// disclosure_and_conclusion— IAS 36.126-134
Tick disclosure items addressed in FS note:
89IAS 36.126
90IAS 36.130(a)
91IAS 36.130(b)
92IAS 36.130(c)-(d)
93IAS 36.130(e)
94IAS 36.130(g)
95IAS 36.134(a)
96IAS 36.134(d)(i)-(ii)
97IAS 36.134(d)(iv)
98IAS 36.134(f)
99IAS 36.130(f)
99conclusion.narrative=
Disclosure checklist + conclusion (IAS 36.126-134)
awaiting input·0/11 fields · 0 errorsEUR·DCF · 5yr
previewias36-wp-cgu-2026.pdf
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Value in Use
Awaiting input
TOTAL
Recoverable Amount
max(VIU, FVLCD)
Headroom
RA − carrying amount
Breakeven Rate
Rate where VIU = CA
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IAS 36 impairment testing for Energy & Utilities

Energy and utility companies carry some of the largest fixed-asset bases of any industry. A mid-market power generator might hold EUR 30M to EUR 200M in generation assets (gas turbines, wind farms, solar installations), plus grid infrastructure, exploration assets, and goodwill from acquiring distribution networks. IAS 36 applies to all of these, though IFRS 6 provides a separate impairment framework for exploration and evaluation assets in their early stages. The energy transition is creating a permanent impairment indicator environment: coal-fired and gas-fired generation assets face declining utilisation as renewable capacity increases, carbon pricing makes fossil generation more expensive, and governments legislate phase-out dates. IAS 36.12(b) identifies changes in the technological, market, or legal environment as external indicators. For a gas-fired power plant, all three indicators may apply simultaneously.

VIU modelling for energy assets is technically demanding because cash flows depend on commodity prices, regulatory tariffs, capacity factors, and carbon costs. IAS 36.30(a) requires expected cash flows reflecting the range of possible outcomes, weighted by probability. For a wind farm, this means modelling different wind yield scenarios (P50, P75, P90 production estimates) and weighting them. For a gas plant, it means modelling forward gas prices, spark spreads, and carbon permit costs over the forecast period. IAS 36.33 permits forecast periods beyond five years for energy assets where the entity can justify the longer horizon. A wind farm with a 25-year expected life and 15-year power purchase agreement can support a 15-year explicit forecast. The discount rate should reflect the specific risk of the asset: a contracted renewable energy project with a feed-in tariff carries lower risk than a merchant gas plant exposed to wholesale market prices. European energy pre-tax WACCs range from 5.5% for regulated utilities to 10.0% or higher for uncontracted generation assets.

Regulators have flagged energy impairment testing as a priority area. The FRC's thematic review on climate-related reporting found that many energy companies acknowledge climate risk in their front-half narrative but fail to reflect it consistently in IAS 36 models in the back half. If the annual report states that the entity plans to achieve net zero by 2040 but the VIU model assumes gas generation continues at current levels until 2050, that inconsistency is a material issue. The ESMA has also issued guidance requiring entities to ensure consistency between climate commitments and financial statement assumptions. For auditors, this creates a specific ISA 720 obligation to check for inconsistencies between the other information and the financial statements.

For energy CGUs, input the full carrying amount of generation or infrastructure assets plus allocated goodwill. Set the discount rate based on the asset's risk profile: regulated assets with tariff certainty at 5.5% to 7.0%, contracted renewable assets at 6.0% to 8.0%, and merchant generation at 8.0% to 10.0%. Terminal growth for utilities should align with regulated tariff escalation (often inflation-linked). For generation assets, consider whether a terminal value is appropriate at all: if the asset has a finite life (a 25-year wind farm concession), model the full life explicitly with a residual value at end of life rather than applying a perpetuity growth rate.

Frequently asked questions: Energy & Utilities

How should a power company reflect climate commitments in IAS 36 impairment testing?
The VIU model must be consistent with the entity's stated plans and commitments. If the entity has committed to phasing out coal generation by 2030, the cash flow projection for a coal plant CGU should reflect zero generation post-2030, or a conversion cost if the plan includes repurposing. IAS 36.34 requires projections based on the most recent management-approved forecasts, which should incorporate the phase-out timeline. The ESMA's 2023 priorities letter specifically flagged this consistency requirement.
Should exploration and evaluation assets be tested under IAS 36 or IFRS 6?
IFRS 6 provides a separate impairment model for exploration and evaluation (E&E) assets. Once an asset moves beyond the E&E phase (technical feasibility and commercial viability are established), it transfers to development or production assets and falls under IAS 36. IFRS 6.18 requires testing when facts and circumstances suggest the carrying amount may exceed recoverable amount, using indicators specific to E&E activities (expiry of exploration rights, cessation of activity in the area, data suggesting reserves are insufficient).
What forecast period is appropriate for a renewable energy project?
Match the forecast period to the asset's concession or contract life. A wind farm with a 25-year expected operational life and a 15-year power purchase agreement can use a 15-year explicit forecast covering the contracted period, with the remaining 10 years modelled at merchant or re-contracted rates. IAS 36.33 permits this provided the entity demonstrates forecast accuracy over similar horizons.
How does carbon pricing affect IAS 36 impairment testing for fossil fuel assets?
Carbon costs (whether from EU ETS permits, UK ETS, or other cap-and-trade systems) reduce the cash flows attributable to fossil fuel generation assets. The VIU model should include projected carbon costs as a cash outflow, using forward carbon price curves where available and management estimates beyond the observable curve. Rising carbon costs may trigger impairment even when generation volumes remain stable.

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