Genius Sports (GENI) Total Liabilities (2019 - 2026)
Genius Sports (GENI) posted Total Liabilities of $1.43 billion for Q2 2026, up 589.1% from $207.63 million a year earlier and up 343.5% from the prior quarter.
Genius Sports (GENI) Total Liabilities (2019 - 2026) Analysis & Trends
At the end of FY2025, Genius Sports' Total Liabilities came in at $405.81 million, up 84.6% from FY2024.
- Annual Total Liabilities has increased for four consecutive years, though with a five-year compound annual growth rate of -5.2% (FY2020 to FY2025).
- In prior years, Genius Sports' Total Liabilities was $219.86 million in FY2024 (+8.5%), $202.71 million in FY2023 (+3.1%), $196.52 million in FY2022 (+8.6%) and $180.91 million in FY2021 (-65.9%).
- The Q2 2026 figure stands as the highest quarterly Total Liabilities in data going back to Q4 2019.
- On a year-over-year basis, Total Liabilities has increased in each of the last seven quarters, with growth averaging 106.7% over the last eight quarters.
- The strongest year-over-year quarter for Total Liabilities in the past five years was Q2 2026, with growth of 589.1%; the weakest was Q1 2022, with a decline of 69.1%.
- According to Business Quant data, Total Liabilities for the three prior quarters was $322.57 million (Q1 2026), $405.81 million (Q4 2025) and $326.57 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 260.12 Bn | 245.19 Bn | 2.30 Bn | 20.97 Bn |
| 2 | CrowdStrike Holdings | 232.49 Bn | 212.89 Bn | 1.10 Bn | 6.89 Bn |
| 3 | Fortinet | 125.70 Bn | 111.63 Bn | 1.64 Bn | 9.31 Bn |
| 4 | Snowflake | 110.19 Bn | 97.50 Bn | 1.04 Bn | 6.54 Bn |
| 5 | Datadog | 92.71 Bn | 74.35 Bn | 881.34 Mn | 3.18 Bn |
| 6 | Zscaler | 34.07 Bn | 20.19 Bn | - | 5.27 Bn |
| 7 | Okta | 33.06 Bn | 23.16 Bn | 641.00 Mn | 2.17 Bn |
| 8 | Axon Enterprise | 30.90 Bn | 25.43 Bn | 546.45 Mn | 3.81 Bn |
| 9 | MongoDB | 28.04 Bn | 18.51 Bn | 569.77 Mn | 797.71 Mn |
| 10 | Genius Sports | 1.68 Bn | 839.26 Mn | 63.79 Mn | 1.43 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.43 Bn |
| Mar 31, 2026 | -260.63 Bn |
| Dec 31, 2025 | 405.81 Mn |
| Sep 30, 2025 | 326.57 Mn |
| Jun 30, 2025 | -241.62 Bn |
| Mar 31, 2025 | -240.08 Bn |
| Dec 31, 2024 | 219.86 Mn |
| Sep 30, 2024 | -214.52 Bn |
| Jun 30, 2024 | -214.38 Bn |
| Mar 31, 2024 | -214.28 Bn |
| Dec 31, 2023 | 202.71 Mn |
| Sep 30, 2023 | 194.76 Mn |
| Jun 30, 2023 | 167.54 Mn |
| Mar 31, 2023 | 163.96 Mn |
| Dec 31, 2022 | 196.52 Mn |
| Sep 30, 2022 | 161.06 Mn |
| Jun 30, 2022 | 141.17 Mn |
| Mar 31, 2022 | 168.66 Mn |
| Dec 31, 2021 | 180.91 Mn |
| Sep 30, 2021 | 184.79 Mn |
Genius Sports Total Liabilities 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=total-liabilities&ticker=GENI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=GENI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();