Genius Sports (GENI) Amortization - Intangibles (2019 - 2025)
Genius Sports' Amortization - Intangibles came in at $2.52 million for Q4 2025, up 15.3% from $2.18 million a year earlier.
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Analysis
Genius Sports (GENI) Amortization - Intangibles (2019 - 2025) Analysis & Trends
For FY2025, Genius Sports' Amortization - Intangibles was $9.45 million, down 60.8% from FY2024.
- Amortization - Intangibles carries a five-year compound annual growth rate of -15.2% (FY2020 to FY2025).
- Going back by year, Amortization - Intangibles was $24.14 million in FY2024 (-40.4%), $40.48 million in FY2023 (+1.0%), $40.09 million in FY2022 (+6.6%) and $37.62 million in FY2021 (+74.4%).
- The Q4 2025 figure represents the highest quarterly Amortization - Intangibles since Q4 2023.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palo Alto Networks | 255.19 Bn | 240.26 Bn | 2.30 Bn |
| 2 | CrowdStrike Holdings | 229.94 Bn | 210.34 Bn | 1.10 Bn |
| 3 | Fortinet | 124.90 Bn | 110.83 Bn | 1.64 Bn |
| 4 | Snowflake | 112.16 Bn | 99.48 Bn | 1.04 Bn |
| 5 | Datadog | 90.95 Bn | 72.59 Bn | 881.34 Mn |
| 6 | Zscaler | 34.34 Bn | 20.46 Bn | - |
| 7 | Okta | 33.43 Bn | 23.53 Bn | 641.00 Mn |
| 8 | Axon Enterprise | 32.24 Bn | 26.77 Bn | 546.45 Mn |
| 9 | MongoDB | 28.94 Bn | 19.41 Bn | 569.77 Mn |
| 10 | Genius Sports | 1.70 Bn | 863.46 Mn | 63.79 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 2.52 Mn |
| Dec 31, 2024 | 2.18 Mn |
| Dec 31, 2023 | 10.31 Mn |
| Dec 31, 2022 | 9.57 Mn |
| Dec 31, 2021 | 11.35 Mn |
| Dec 31, 2020 | 5.63 Mn |
| Dec 31, 2019 | 5.44 Mn |
API Access
Genius Sports Amortization - 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=amortization-intangibles&ticker=GENI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortization-intangibles", "ticker": "GENI", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=amortization-intangibles&ticker=GENI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();