Genius Sports (GENI) Operating Expenses (2018 - 2026)
Genius Sports' (GENI) quarterly Operating Expenses came in at $119.4 million in Q2 2026, up 33.24% on a YoY basis from $89.6 million in Q2 2025, and up 38.0% quarter-over-quarter from $86.5 million in Q1 2026.
Genius Sports (GENI) Operating Expenses (2018 - 2026) Analysis & Trends
Genius Sports (GENI) has reported Operating Expenses for 9 consecutive years, with $119.4 million the latest figure, recorded in Q2 2026.
- For the quarter ending Q2 2026, Operating Expenses rose 33.24% year-over-year to $119.4 million; the trailing twelve-month figure through Jun 2026 stood at $365.8 million (up 48.71% YoY), and the FY2025 full-year result was $305.2 million, up 62.98% from the prior year.
- Operating Expenses rose to $119.4 million in Q2 2026 per GENI's latest filing, from $86.5 million in the prior quarter.
- Across five years, Operating Expenses topped out at $119.4 million in Q2 2026 and bottomed at $32.5 million in Q2 2023.
- Historically, Operating Expenses has averaged $57.1 million across 5 years, with a median of $49.2 million in 2022.
- The sharpest annual moves came in 2022 and 2023: Operating Expenses soared 196.74% in 2022, then tumbled 34.29% in 2023.
- Over 5 years, Operating Expenses stood at $48.0 million in 2022, then retreated by 6.43% to $44.9 million in 2023, then rose by 21.68% to $54.7 million in 2024, then jumped by 70.25% to $93.0 million in 2025, then grew by 28.28% to $119.4 million in 2026.
- According to Business Quant data, Operating Expenses over the past three periods registered $119.4 million, $86.5 million, and $93.0 million for Q2 2026, Q1 2026, and Q4 2025 respectively.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Snowflake | 116.96 Bn | 114.61 Bn | 1.04 Bn | 1.30 Bn |
| 2 | MongoDB | 30.90 Bn | 28.49 Bn | 569.77 Mn | 541.37 Mn |
| 3 | Sportradar Group AG | 10.95 Bn | 10.59 Bn | 376.06 Mn | 12.41 Mn |
| 4 | Elastic | 9.14 Bn | 7.68 Bn | 356.19 Mn | 379.76 Mn |
| 5 | Genius Sports | 2.86 Bn | 2.70 Bn | 63.79 Mn | 119.35 Mn |
| 6 | Teradata | 2.69 Bn | 2.27 Bn | 243.00 Mn | 195.00 Mn |
| 7 | Datavault AI | 128.17 Mn | 128.17 Mn | 2.88 Mn | 29.33 Mn |
| 8 | Intermap Technologies | 47.08 Mn | 30.91 Mn | - | 3.54 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 119.35 Mn |
| Mar 31, 2026 | 86.49 Mn |
| Dec 31, 2025 | 93.04 Mn |
| Sep 30, 2025 | 66.93 Mn |
| Jun 30, 2025 | 89.58 Mn |
| Mar 31, 2025 | 55.63 Mn |
| Dec 31, 2024 | 54.65 Mn |
| Sep 30, 2024 | 46.14 Mn |
| Jun 30, 2024 | 49.37 Mn |
| Mar 31, 2024 | 37.09 Mn |
| Dec 31, 2023 | 44.91 Mn |
| Sep 30, 2023 | 33.17 Mn |
| Jun 30, 2023 | 32.52 Mn |
| Mar 31, 2023 | 32.56 Mn |
| Dec 31, 2022 | 48.00 Mn |
| Sep 30, 2022 | 39.19 Mn |
| Jun 30, 2022 | 48.99 Mn |
| Mar 31, 2022 | 49.56 Mn |
| Dec 31, 2021 | 50.90 Mn |
| Sep 30, 2021 | 47.48 Mn |
Genius Sports Operating Expenses 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=operating-expenses&ticker=GENI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=GENI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();