Genius Sports (GENI) Total Current Liabilities (2019 - 2026)
Genius Sports (GENI) posted Total Current Liabilities of $474.87 million for Q2 2026, up 183.3% from $167.63 million a year earlier and up 73.3% from the prior quarter.
Genius Sports (GENI) Total Current Liabilities (2019 - 2026) Analysis & Trends
At the end of FY2025, Genius Sports' Total Current Liabilities came in at $352.88 million, up 75.1% from FY2024.
- Annual Total Current Liabilities has increased for six consecutive years, with a five-year compound annual growth rate of 32.8% (FY2020 to FY2025).
- In prior years, Genius Sports' Total Current Liabilities was $201.57 million in FY2024 (+10.2%), $182.91 million in FY2023 (+6.9%), $171.14 million in FY2022 (+12.0%) and $152.81 million in FY2021 (+79.0%).
- The Q2 2026 figure stands as the highest quarterly Total Current Liabilities in data going back to Q4 2019.
- On a year-over-year basis, Total Current Liabilities has increased in each of the last five quarters, with growth averaging 51.1% over the last eight quarters.
- The strongest year-over-year quarter for Total Current Liabilities in the past five years was Q2 2026, with growth of 183.3%; the weakest was Q3 2024, with a decline of 14.7%.
- According to Business Quant data, Total Current Liabilities for the three prior quarters was $273.96 million (Q1 2026), $352.88 million (Q4 2025) and $269.3 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 255.42 Bn | 240.49 Bn | 2.30 Bn | 9.92 Bn |
| 2 | CrowdStrike Holdings | 232.07 Bn | 212.47 Bn | 1.10 Bn | 4.43 Bn |
| 3 | Fortinet | 125.35 Bn | 111.28 Bn | 1.64 Bn | 4.84 Bn |
| 4 | Snowflake | 111.63 Bn | 98.94 Bn | 1.04 Bn | 3.72 Bn |
| 5 | Datadog | 91.35 Bn | 72.99 Bn | 881.34 Mn | 1.87 Bn |
| 6 | Zscaler | 34.43 Bn | 20.55 Bn | - | 2.96 Bn |
| 7 | Okta | 33.87 Bn | 23.97 Bn | 641.00 Mn | 2.03 Bn |
| 8 | Axon Enterprise | 31.65 Bn | 26.18 Bn | 546.45 Mn | 1.40 Bn |
| 9 | MongoDB | 29.46 Bn | 19.93 Bn | 569.77 Mn | 642.37 Mn |
| 10 | Genius Sports | 1.71 Bn | 869.83 Mn | 63.79 Mn | 474.87 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 474.87 Mn |
| Mar 31, 2026 | 273.96 Mn |
| Dec 31, 2025 | 352.88 Mn |
| Sep 30, 2025 | 269.30 Mn |
| Jun 30, 2025 | 167.63 Mn |
| Mar 31, 2025 | 170.72 Mn |
| Dec 31, 2024 | 201.57 Mn |
| Sep 30, 2024 | 149.09 Mn |
| Jun 30, 2024 | 144.52 Mn |
| Mar 31, 2024 | 174.90 Mn |
| Dec 31, 2023 | 182.91 Mn |
| Sep 30, 2023 | 174.73 Mn |
| Jun 30, 2023 | 148.80 Mn |
| Mar 31, 2023 | 144.76 Mn |
| Dec 31, 2022 | 171.14 Mn |
| Sep 30, 2022 | 140.31 Mn |
| Jun 30, 2022 | 118.37 Mn |
| Mar 31, 2022 | 134.28 Mn |
| Dec 31, 2021 | 152.81 Mn |
| Sep 30, 2021 | 146.33 Mn |
Genius Sports Total Current 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-current-liabilities&ticker=GENI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-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-current-liabilities&ticker=GENI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();