Fair Isaac (FICO) Intangibles (2009 - 2024)
Fair Isaac's Intangibles came in at $92,000 for fiscal Q3 2024 (quarter ended Jun 30, 2024), down 92.3% from $1.19 million a year earlier and down 74.9% from the prior quarter.
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Analysis
Fair Isaac (FICO) Intangibles (2009 - 2024) Analysis & Trends
At the end of FY2023 (ended Sep 30, 2023), Fair Isaac's Intangibles was $917,000, down 54.5% from FY2022.
- Intangibles has declined in each of the last ten fiscal years, with a five-year compound annual growth rate of -42.5% (FY2018 to FY2023).
- Going back by fiscal year, Intangibles was $2.02 million in FY2022 (-50.8%), $4.1 million in FY2021 (-55.6%), $9.24 million in FY2020 (-34.7%) and $14.14 million in FY2019 (-2.7%).
- The fiscal Q3 2024 figure represents the lowest quarterly Intangibles in data going back to fiscal Q4 2009.
- Year-over-year, Intangibles has declined for 16 consecutive quarters, with an average decline of 61.2% over the last eight quarters.
- The fastest year-over-year change in Intangibles over five years came in fiscal Q3 2020 (growth of 2.0%), and the weakest in fiscal Q3 2024 (a decline of 92.3%).
- Business Quant data shows FICO's Intangibles at $367,000 (Q2 2024), $642,000 (Q1 2024) and $917,000 (Q4 2023) in the three fiscal quarters before Q3 2024.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 450.50 Bn | 419.56 Bn | 1.64 Bn | - |
| 2 | Oracle | 401.01 Bn | 273.57 Bn | - | - |
| 3 | Sap Se | 257.03 Bn | 178.11 Bn | 8.40 Bn | 3.07 Bn |
| 4 | Salesforce | 187.04 Bn | 142.92 Bn | 8.70 Bn | 6.14 Bn |
| 5 | ServiceNow | 135.91 Bn | 114.37 Bn | 2.82 Bn | 3.78 Bn |
| 6 | Automatic Data Processing | 104.14 Bn | 86.27 Bn | 2.51 Bn | 1.65 Bn |
| 7 | Intuit | 72.30 Bn | 51.65 Bn | 3.44 Bn | 4.64 Bn |
| 8 | Relx | 60.17 Bn | 57.14 Bn | - | 4.18 Bn |
| 9 | Strategy | 55.31 Bn | 48.30 Bn | 81.55 Mn | 49.67 Bn |
| 10 | Fair Isaac | 18.16 Bn | 17.40 Bn | 587.17 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2024 | 92,000.00 |
| Mar 31, 2024 | 367,000.00 |
| Dec 31, 2023 | 642,000.00 |
| Sep 30, 2023 | 917,000.00 |
| Jun 30, 2023 | 1.19 Mn |
| Mar 31, 2023 | 1.47 Mn |
| Dec 31, 2022 | 1.74 Mn |
| Sep 30, 2022 | 2.02 Mn |
| Jun 30, 2022 | 2.46 Mn |
| Mar 31, 2022 | 3.01 Mn |
| Dec 31, 2021 | 3.56 Mn |
| Sep 30, 2021 | 4.10 Mn |
| Jun 30, 2021 | 4.69 Mn |
| Mar 31, 2021 | 7.44 Mn |
| Dec 31, 2020 | 8.37 Mn |
| Sep 30, 2020 | 9.24 Mn |
| Jun 30, 2020 | 10.12 Mn |
| Mar 31, 2020 | 11.18 Mn |
| Dec 31, 2019 | 12.48 Mn |
| Sep 30, 2019 | 14.14 Mn |
API Access
Fair Isaac Intangibles 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=intangibles&ticker=FICO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "intangibles", "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=intangibles&ticker=FICO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();