Fair Isaac (FICO) Prepaid Assets (2009 - 2026)
Fair Isaac's Prepaid Assets came in at $40.59 million for fiscal Q3 2026 (quarter ended Jun 30, 2026), down 39.1% from $66.69 million a year earlier and down 33.9% from the prior quarter.
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Analysis
Fair Isaac (FICO) Prepaid Assets (2009 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), Fair Isaac's Prepaid Assets was $41.88 million, up 4.4% from FY2024.
- Prepaid Assets has increased in each of the last three fiscal years, though with a five-year compound annual growth rate of -0.3% (FY2020 to FY2025).
- Going back by fiscal year, Prepaid Assets was $40.1 million in FY2024 (+26.4%), $31.72 million in FY2023 (+9.0%), $29.1 million in FY2022 (-33.1%) and $43.51 million in FY2021 (+2.4%).
- The fiscal Q3 2026 figure represents the lowest quarterly Prepaid Assets since fiscal Q4 2024.
- Year-over-year, Prepaid Assets has declined for three consecutive quarters, with growth averaging 25.7% over the last eight quarters.
- The fastest year-over-year change in Prepaid Assets over five years came in fiscal Q2 2025 (growth of 133.1%), and the weakest in fiscal Q3 2026 (a decline of 39.1%).
- Business Quant data shows FICO's Prepaid Assets at $61.4 million (Q2 2026), $41.66 million (Q1 2026) and $41.88 million (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palantir Technologies | 449.46 Bn | 418.52 Bn | 1.64 Bn |
| 2 | Oracle | 415.29 Bn | 287.84 Bn | - |
| 3 | Sap Se | 256.30 Bn | 177.39 Bn | 8.40 Bn |
| 4 | Salesforce | 188.94 Bn | 144.82 Bn | 8.70 Bn |
| 5 | ServiceNow | 138.57 Bn | 117.03 Bn | 2.82 Bn |
| 6 | Automatic Data Processing | 102.66 Bn | 84.78 Bn | 2.51 Bn |
| 7 | Intuit | 74.00 Bn | 53.35 Bn | 3.44 Bn |
| 8 | Relx | 60.34 Bn | 57.31 Bn | - |
| 9 | Strategy | 53.88 Bn | 46.87 Bn | 81.55 Mn |
| 10 | Fair Isaac | 12.80 Bn | 12.03 Bn | 587.17 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 40.59 Mn |
| Mar 31, 2026 | 61.40 Mn |
| Dec 31, 2025 | 41.66 Mn |
| Sep 30, 2025 | 41.88 Mn |
| Jun 30, 2025 | 66.69 Mn |
| Mar 31, 2025 | 85.73 Mn |
| Dec 31, 2024 | 60.66 Mn |
| Sep 30, 2024 | 40.10 Mn |
| Jun 30, 2024 | 37.46 Mn |
| Mar 31, 2024 | 36.78 Mn |
| Dec 31, 2023 | 37.36 Mn |
| Sep 30, 2023 | 31.72 Mn |
| Jun 30, 2023 | 27.97 Mn |
| Mar 31, 2023 | 45.32 Mn |
| Dec 31, 2022 | 35.73 Mn |
| Sep 30, 2022 | 29.10 Mn |
| Jun 30, 2022 | 31.85 Mn |
| Mar 31, 2022 | 34.63 Mn |
| Dec 31, 2021 | 39.68 Mn |
| Sep 30, 2021 | 43.51 Mn |
API Access
Fair Isaac Prepaid Assets 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=prepaid-assets&ticker=FICO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "prepaid-assets", "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=prepaid-assets&ticker=FICO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();