Genius Sports (GENI) Goodwill (2018 - 2026)
Genius Sports' (GENI) quarterly Goodwill came in at $775.4 million in Q2 2026, up 137.85% on a YoY basis from $326.0 million in Q2 2025, and up 129.38% quarter-over-quarter from $338.0 million in Q1 2026.
Genius Sports (GENI) Goodwill (2018 - 2026) Analysis & Trends
Genius Sports (GENI) has reported Goodwill for 9 consecutive years, with $775.4 million the latest figure, recorded in Q2 2026.
- For the quarter ending Q2 2026, Goodwill rose 137.85% year-over-year to $775.4 million; the trailing twelve-month figure through Jun 2026 stood at $775.4 million (up 137.85% YoY), and the FY2025 full-year result was $338.0 million, up 3.69% from the prior year.
- Goodwill advanced to $775.4 million in Q2 2026 per GENI's latest filing, from $338.0 million in the prior quarter.
- Across five years, Goodwill topped out at $775.4 million in Q2 2026 and bottomed at $285.8 million in Q3 2022.
- Historically, Goodwill has averaged $348.1 million across 5 years, with a median of $326.0 million in 2023.
- The widest YoY moves for Goodwill: up 207.2% in 2022, down 17.44% in 2022.
- Over 5 years, Goodwill stood at $309.9 million in 2022, then climbed by 5.2% to $326.0 million in 2023, then changed by 0.0% to $326.0 million in 2024, then advanced by 3.69% to $338.0 million in 2025, then soared by 129.38% to $775.4 million in 2026.
- According to Business Quant data, Goodwill over the past three periods registered $775.4 million, $338.0 million, and $338.0 million for Q2 2026, Q1 2026, and Q4 2025 respectively.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Snowflake | 116.96 Bn | 114.61 Bn | 1.04 Bn |
| 2 | MongoDB | 30.90 Bn | 28.49 Bn | 569.77 Mn |
| 3 | Sportradar Group AG | 10.95 Bn | 10.59 Bn | 376.06 Mn |
| 4 | Elastic | 9.14 Bn | 7.68 Bn | 356.19 Mn |
| 5 | Genius Sports | 2.86 Bn | 2.70 Bn | 63.79 Mn |
| 6 | Teradata | 2.69 Bn | 2.27 Bn | 243.00 Mn |
| 7 | Datavault AI | 128.17 Mn | 128.17 Mn | 2.88 Mn |
| 8 | Intermap Technologies | 47.08 Mn | 30.91 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 775.41 Mn |
| Mar 31, 2026 | 338.05 Mn |
| Dec 31, 2025 | 338.05 Mn |
| Sep 30, 2025 | 338.75 Mn |
| Jun 30, 2025 | 326.01 Mn |
| Mar 31, 2025 | 326.01 Mn |
| Dec 31, 2024 | 326.01 Mn |
| Sep 30, 2024 | 326.01 Mn |
| Jun 30, 2024 | 326.01 Mn |
| Mar 31, 2024 | 323.30 Mn |
| Dec 31, 2023 | 326.01 Mn |
| Sep 30, 2023 | 312.40 Mn |
| Jun 30, 2023 | 324.55 Mn |
| Mar 31, 2023 | 316.07 Mn |
| Dec 31, 2022 | 309.89 Mn |
| Sep 30, 2022 | 285.84 Mn |
| Jun 30, 2022 | 311.53 Mn |
| Mar 31, 2022 | 336.69 Mn |
| Dec 31, 2021 | 346.42 Mn |
| Sep 30, 2021 | 346.23 Mn |
Genius Sports Goodwill 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=goodwill&ticker=GENI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "goodwill", "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=goodwill&ticker=GENI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();