IAS 36 · Technology

Impairment Calculator
for Technology

Calculate value in use for capitalised development costs, acquired technology platforms, and goodwill from tech acquisitions. Built for the fast-moving asset profiles typical in mid-market technology companies.

IAS 36 · LIVEv2026.04DCF

Impairment testing, audit-ready.
Not just calculated.

Session
0x9759
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
🔒 LOCKED
IAS 36 working paper preview
Enter carrying amount, discount rate, and cash flows to see your IAS 36 working paper render in real time.
Value in Use
Awaiting input
TOTAL
Recoverable Amount
max(VIU, FVLCD)
Headroom
RA − carrying amount
Breakeven Rate
Rate where VIU = CA
EXPORT (EMAIL TO UNLOCK)

Email unlocks the free download.

No payment required. Unlock above to download the full working paper.

Format
HTML → PDF
Pages
6–10
Price
FREE
or CtrlE

IAS 36 impairment testing for Technology

Technology companies carry a distinctive asset mix for impairment purposes. Capitalised development costs under IAS 38, acquired software platforms, customer relationship intangibles, and goodwill from frequent M&A activity dominate the balance sheet. Unlike manufacturers, where assets have observable market values and predictable cash flows, technology assets derive value from projected future revenue that can shift rapidly. A platform generating EUR 10M in annual recurring revenue today could face disruption from a competitor launch or a regulatory change within 18 months. IAS 36.12(b) lists technological obsolescence as an external indicator of impairment, and in this industry, that indicator is permanently on the radar.

The technical challenge for technology companies sits in two areas: discount rates and forecast reliability. Technology-sector WACC figures typically run between 10% and 15% for mid-market companies, reflecting higher equity risk premiums than traditional industries. IAS 36.55 requires the rate to reflect risks specific to the asset, not risks already adjusted in the cash flows. This means if management has already probability-weighted their revenue scenarios (optimistic, base, pessimistic), the discount rate shouldn't double-count that revenue risk. In practice, separating "risk in the cash flows" from "risk in the rate" is one of the hardest judgments in technology impairment testing. For capitalised development costs, IAS 36.97 requires immediate impairment of any development project that no longer meets the IAS 38.57 recognition criteria. If the entity can no longer demonstrate probable future economic benefits (say, because a product launch was abandoned or a key contract fell through), the asset goes to zero without running a full VIU model.

Audit inspections reveal recurring issues with technology impairment files. The PCAOB in the US and the FRC in the UK have both noted that auditors frequently accept management's "hockey stick" revenue projections without sufficient challenge. IAS 36.33(b) requires that projections beyond the approved budget period use a steady or declining growth rate unless an increasing rate can be justified. A SaaS company projecting 30% year-on-year growth in year four of a five-year model needs strong evidence: signed pipeline, market sizing data, historical conversion rates. Without it, the auditor should build an independent expectation using lower growth assumptions and test whether impairment arises under that scenario. Another common finding involves the allocation of goodwill to CGUs. Technology companies restructure frequently, spinning out divisions or merging product lines. IAS 36.87 requires goodwill reallocation when a CGU is reorganised, and failing to do so means the annual goodwill test is performed on a stale CGU structure.

For technology CGUs, input the carrying amount including capitalised development, acquired intangibles, and allocated goodwill. Set the discount rate between 10% and 14% for European mid-market tech, adjusting upward for early-stage products and downward for mature recurring-revenue platforms. Terminal growth rates above 2.5% need strong justification given IAS 36.33(c). Run sensitivity on both the discount rate (plus 150 basis points) and the revenue growth assumption (minus 20% of projected revenue) to test headroom. If headroom disappears with modest changes, the disclosure requirements under IAS 36.134(f) become especially important.

Frequently asked questions: Technology

When should a technology company impair capitalised development costs?
IAS 36.97 requires testing whenever indicators exist, but there's a faster route: if the project no longer meets the IAS 38.57 capitalisation criteria (technical feasibility, intention to complete, ability to use or sell, probable economic benefits, resources available, reliable measurement), the entity writes it off immediately. You don't need a full VIU model when the product has been abandoned or the market has disappeared.
How should an auditor challenge a technology company's revenue growth projections in VIU?
Start with the entity's historical accuracy. Compare prior year forecasts to actual results. If management consistently overestimated by 15% or more, apply that variance to the current projection. Cross-reference growth assumptions against independent market data from sources like Gartner or IDC. Build your own point estimate under ISA 540 and test whether impairment would arise under your lower-growth scenario.
How does goodwill allocation work when a technology company restructures?
IAS 36.87 requires reallocation using a relative value approach when a CGU that received goodwill is reorganised. If a company merges two product divisions into one, the goodwill previously allocated to each follows the assets into the new combined CGU. If one division is sold, goodwill is allocated to the disposed unit based on the relative values of the disposed operation and the portion retained.
What specific risks should the discount rate capture for a SaaS CGU?
Beyond standard WACC components, consider customer churn risk, platform dependency (single-product versus multi-product), regulatory exposure (data privacy, AI regulation), and contract duration. A SaaS business with 95% annual retention and three-year enterprise contracts carries lower asset-specific risk than one with 80% retention and monthly subscriptions. Document each risk factor and its directional impact on the rate.

Related industry calculators

General Calculator

Get practical audit insights, weekly.

No exam theory. Just what makes audits run faster.

290+ guides published20 free toolsBuilt by practicing auditors

No spam. We’re auditors, not marketers.