Genius Sports (GENI) EBITDA (2018 - 2026)
Genius Sports' (GENI) quarterly EBITDA came in at -$55.6 million in Q2 2026, up 31.14% on a YoY basis from -$42.4 million in Q2 2025, and down 28.73% quarter-over-quarter from -$43.2 million in Q1 2026.
Genius Sports (GENI) EBITDA (2018 - 2026) Analysis & Trends
Genius Sports (GENI) has reported EBITDA for 9 consecutive years, with -$55.6 million the latest figure, recorded in Q2 2026.
- For the quarter ending Q2 2026, EBITDA rose 31.14% year-over-year to -$55.6 million; the trailing twelve-month figure through Jun 2026 stood at -$76.0 million (down 1.61% YoY), and the FY2025 full-year result was $136.2 million, up 58.91% from the prior year.
- EBITDA retreated to -$55.6 million in Q2 2026 per GENI's latest filing, from -$43.2 million in the prior quarter.
- Across five years, EBITDA topped out at $48.3 million in Q4 2025 and bottomed at -$80.7 million in Q2 2025.
- Historically, EBITDA has averaged -$20.0 million across 5 years, with a median of -$22.0 million in 2023.
- The sharpest annual moves came in 2022 and 2023: EBITDA sank 2014.05% in 2022, then jumped 349.38% in 2023.
- Over 5 years, EBITDA stood at $2.7 million in 2022, then surged by 349.38% to $12.0 million in 2023, then soared by 170.72% to $32.4 million in 2024, then jumped by 49.31% to $48.3 million in 2025, then tumbled by 214.96% to -$55.6 million in 2026.
- According to Business Quant data, EBITDA over the past three periods registered -$55.6 million, -$43.2 million, and $48.3 million for Q2 2026, Q1 2026, and Q4 2025 respectively.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Snowflake | 116.96 Bn | 114.61 Bn | 1.04 Bn | -262.97 Mn |
| 2 | MongoDB | 30.90 Bn | 28.49 Bn | 569.77 Mn | 28.40 Mn |
| 3 | Sportradar Group AG | 10.95 Bn | 10.59 Bn | 376.06 Mn | 88.65 Mn |
| 4 | Elastic | 9.14 Bn | 7.68 Bn | 356.19 Mn | -23.57 Mn |
| 5 | Genius Sports | 2.86 Bn | 2.70 Bn | 63.79 Mn | -55.57 Mn |
| 6 | Teradata | 2.69 Bn | 2.27 Bn | 243.00 Mn | 48.00 Mn |
| 7 | Datavault AI | 128.17 Mn | 128.17 Mn | 2.88 Mn | -26.46 Mn |
| 8 | Intermap Technologies | 47.08 Mn | 30.91 Mn | - | -1.77 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -55.57 Mn |
| Mar 31, 2026 | -43.17 Mn |
| Dec 31, 2025 | 48.34 Mn |
| Sep 30, 2025 | -25.61 Mn |
| Jun 30, 2025 | -80.69 Mn |
| Mar 31, 2025 | -20.42 Mn |
| Dec 31, 2024 | 32.37 Mn |
| Sep 30, 2024 | -6.06 Mn |
| Jun 30, 2024 | -21.00 Mn |
| Mar 31, 2024 | -24.28 Mn |
| Dec 31, 2023 | 11.96 Mn |
| Sep 30, 2023 | -8.89 Mn |
| Jun 30, 2023 | -7.84 Mn |
| Mar 31, 2023 | -23.03 Mn |
| Dec 31, 2022 | 2.66 Mn |
| Sep 30, 2022 | -33.36 Mn |
| Jun 30, 2022 | -39.69 Mn |
| Mar 31, 2022 | -65.01 Mn |
| Dec 31, 2021 | -12.51 Mn |
| Sep 30, 2021 | -64.79 Mn |
Genius Sports EBITDA 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=ebitda&ticker=GENI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=GENI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();