IAS 36 · Agriculture

Impairment Calculator
for Agriculture

Calculate value in use for agricultural processing facilities, farmland improvements, and equipment CGUs. Covers the IAS 36 assets that fall outside IAS 41's biological asset scope.

IAS 36 · LIVEv2026.04DCF

Impairment testing, audit-ready.
Not just calculated.

Session
0xBFA9
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
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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 Agriculture

Agricultural entities face a split-scope situation similar to banking and insurance. Biological assets and agricultural produce at the point of harvest fall under IAS 41, which uses a fair-value-based model. But the processing facilities, farmland improvements, irrigation infrastructure, storage buildings, and equipment used to farm those biological assets sit under IAS 16 and within IAS 36's scope. A mid-market agricultural processor (grain milling, dairy processing, meat packing) carries significant fixed assets in processing plant and equipment. Goodwill from acquiring competitor operations or supply chain businesses also falls under IAS 36. The agricultural sector's exposure to weather events, commodity price volatility, and regulatory changes (EU Common Agricultural Policy reform, water usage restrictions) creates a high frequency of external impairment indicators under IAS 36.9.

VIU modelling for agricultural processing assets requires separating the value created by the biological assets (IAS 41 scope) from the value created by the processing infrastructure (IAS 36 scope). A dairy processing plant's VIU should reflect the margin earned from processing milk into cheese and butter, not the value of the raw milk itself. The cash inflows are processing fees or the spread between input costs and processed product revenue. Discount rates for agricultural processing reflect the cyclicality of commodity markets and the geographic concentration of operations. A processor sourcing milk from one region faces higher supply risk than one with diversified sourcing. European agricultural processors typically apply pre-tax WACCs between 7.5% and 10.0%. Terminal growth rates should reflect long-term food demand growth, which Eurostat data puts at 1.0% to 1.5% for Western European processed food markets.

Auditors encounter several recurring issues in agricultural impairment files. Management teams sometimes include government subsidy income in VIU projections without assessing whether those subsidies will continue over the forecast period. If subsidies depend on annual government allocation (as many CAP payments do after the 2023 reform), including them at current levels for five years without adjustment overstates VIU. IAS 36.33(b) requires projections to use reasonable and supportable assumptions about future conditions. Another issue involves shared assets: a farmstead that includes a processing facility, worker housing, and storage silos needs careful CGU definition. If the processing facility could operate with milk sourced from external suppliers (not just the entity's own herd), the processing operation may be a separate CGU from the farming operation.

For agricultural processing CGUs, input the carrying amount of processing plant, equipment, and allocated goodwill. Exclude biological assets and bearer plants (these sit under IAS 41 and IAS 16 respectively, with IAS 41 handling fair value measurement). Set the discount rate between 7.5% and 10.0%, adjusting for commodity concentration and geographic risk. For terminal growth, 1.0% is a conservative but defensible figure for European processed food markets. Run sensitivity on both the input commodity price assumption (a 15% increase in raw material costs) and the discount rate (plus 100 basis points) to identify where headroom evaporates.

Frequently asked questions: Agriculture

Which agricultural assets are tested under IAS 36 versus IAS 41?
Biological assets (livestock, crops, timber plantations) and agricultural produce at harvest fall under IAS 41. Bearer plants (fruit trees, grape vines) are under IAS 16 but measured differently from other PPE. Processing facilities, farmland improvements, irrigation systems, storage infrastructure, and equipment are all under IAS 16 and tested for impairment under IAS 36. Goodwill from agricultural business combinations is tested under IAS 36.10.
Should government agricultural subsidies be included in VIU cash flow projections?
Include subsidies only if there's a reasonable basis to expect they'll continue over the forecast period. Contracted multi-year subsidies with legal entitlement can be included for their contractual term. Annual allocation subsidies (like reformed CAP payments) should be included with caution: consider the political and budgetary environment and whether the entity has any basis to project continuation beyond the current programme period. Document the assumption explicitly.
How does water scarcity affect impairment testing for agricultural assets?
Water restrictions are an external indicator under IAS 36.9(b) (changes in the legal or regulatory environment). If a government imposes water allocation cuts that reduce the entity's production capacity, the processing assets' cash flows decline accordingly. The VIU model should reflect the reduced throughput, and the entity should consider whether the asset's remaining useful life is also affected. In Southern European jurisdictions, water scarcity is an increasingly frequent trigger for agricultural asset impairment.
What CGU structure is appropriate for an integrated farming and processing operation?
Test whether the processing facility could operate independently (sourcing inputs from external suppliers rather than the entity's own farm). If so, it's a separate CGU from the farming operation. If the processing facility is purpose-built for the entity's specific crop and can't economically source externally, the integrated operation is one CGU. Document the analysis with reference to actual supply alternatives and contractual arrangements.

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