Fair Isaac (FICO) Depreciation and Depletion (2010 - 2026)
Fair Isaac (FICO) recorded Depreciation and Depletion of $2.66 million in fiscal Q3 2026 (quarter ended Jun 30, 2026), down 8.1% from $2.89 million a year earlier but up 2.7% from the prior quarter.
Fair Isaac (FICO) Depreciation and Depletion (2010 - 2026) Analysis & Trends
On a TTM basis, Fair Isaac's Depreciation and Depletion came in at $10.63 million as of Jun 30, 2026, down 1.1% year-over-year; for FY2025 (ended Sep 30, 2025), it came in at $10.66 million, up 13.4% from FY2024.
- Annual Depreciation and Depletion has a five-year compound annual growth rate of -14.6% (FY2020 to FY2025).
- Across earlier fiscal years, Depreciation and Depletion came in at $9.4 million in FY2024 (-7.0%), $10.11 million in FY2023 (-33.7%), $15.24 million in FY2022 (-25.0%) and $20.32 million in FY2021 (-13.4%).
- Quarterly Depreciation and Depletion has ranged from $1.69 million in fiscal Q1 2024 to $4.46 million in fiscal Q4 2021 over the past five years.
- On a year-over-year basis, Depreciation and Depletion rose in six of the last eight quarters, with growth averaging 14.8%.
- Peak year-over-year performance for Depreciation and Depletion in the last five years was growth of 53.5% in fiscal Q1 2025, against a decline of 46.3% in fiscal Q1 2024 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $2.59 million (Q2 2026), $2.69 million (Q1 2026) and $2.7 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 450.50 Bn | 419.56 Bn | 1.64 Bn | - |
| 2 | Oracle | 401.01 Bn | 273.57 Bn | - | 3.20 Bn |
| 3 | Sap Se | 257.03 Bn | 178.11 Bn | 8.40 Bn | - |
| 4 | Salesforce | 187.04 Bn | 142.92 Bn | 8.70 Bn | - |
| 5 | ServiceNow | 135.91 Bn | 114.37 Bn | 2.82 Bn | 155.00 Mn |
| 6 | Automatic Data Processing | 104.14 Bn | 86.27 Bn | 2.51 Bn | - |
| 7 | Intuit | 72.30 Bn | 51.65 Bn | 3.44 Bn | 54.00 Mn |
| 8 | Relx | 60.17 Bn | 57.14 Bn | - | - |
| 9 | Strategy | 55.31 Bn | 48.30 Bn | 81.55 Mn | - |
| 10 | Fair Isaac | 18.16 Bn | 17.40 Bn | 587.17 Mn | 2.66 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.66 Mn |
| Mar 31, 2026 | 2.59 Mn |
| Dec 31, 2025 | 2.69 Mn |
| Sep 30, 2025 | 2.70 Mn |
| Jun 30, 2025 | 2.89 Mn |
| Mar 31, 2025 | 2.48 Mn |
| Dec 31, 2024 | 2.60 Mn |
| Sep 30, 2024 | 2.79 Mn |
| Jun 30, 2024 | 2.70 Mn |
| Mar 31, 2024 | 2.22 Mn |
| Dec 31, 2023 | 1.69 Mn |
| Sep 30, 2023 | 1.86 Mn |
| Jun 30, 2023 | 2.22 Mn |
| Mar 31, 2023 | 2.88 Mn |
| Dec 31, 2022 | 3.15 Mn |
| Sep 30, 2022 | 3.35 Mn |
| Jun 30, 2022 | 3.77 Mn |
| Mar 31, 2022 | 4.02 Mn |
| Dec 31, 2021 | 4.10 Mn |
| Sep 30, 2021 | 4.46 Mn |
Fair Isaac Depreciation and Depletion API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=depreciation-and-depletion&ticker=FICO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "ticker": "FICO", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=depreciation-and-depletion&ticker=FICO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();