Genius Sports (GENI) Interest Expenses (2019 - 2026)
Genius Sports' (GENI) quarterly Interest Expenses came in at $2.8 million in Q2 2026, up 185.9% on a YoY basis from $986000.0 in Q2 2025, and up 131.83% quarter-over-quarter from $1.2 million in Q1 2026.
Genius Sports (GENI) Interest Expenses (2019 - 2026) Analysis & Trends
Genius Sports (GENI) has reported Interest Expenses for 8 consecutive years, with $2.8 million the latest figure, recorded in Q2 2026.
- For the quarter ending Q2 2026, Interest Expenses rose 185.9% year-over-year to $2.8 million; the trailing twelve-month figure through Jun 2026 stood at $6.4 million (up 138.12% YoY), and the FY2025 full-year result was $4.0 million, up 224.1% from the prior year.
- Interest Expenses improved to $2.8 million in Q2 2026 per GENI's latest filing, from $1.2 million in the prior quarter.
- Across five years, Interest Expenses topped out at $2.8 million in Q2 2026 and bottomed at -$391000.0 in Q1 2022.
- Historically, Interest Expenses has averaged $504600.0 across 5 years, with a median of $401000.0 in 2024.
- The sharpest annual moves came in 2022 and 2024: Interest Expenses sank 142.47% in 2022, then jumped 19950.0% in 2024.
- Over 5 years, Interest Expenses stood at -$354000.0 in 2022, then surged by 101.41% to $5000.0 in 2023, then surged by 12800.0% to $645000.0 in 2024, then surged by 108.22% to $1.3 million in 2025, then surged by 109.9% to $2.8 million in 2026.
- According to Business Quant data, Interest Expenses over the past three periods registered $2.8 million, $1.2 million, and $1.3 million for Q2 2026, Q1 2026, and Q4 2025 respectively.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Interest Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Snowflake | 116.96 Bn | 114.61 Bn | 1.04 Bn | 2.08 Mn |
| 2 | MongoDB | 30.90 Bn | 28.49 Bn | 569.77 Mn | 924,000.00 |
| 3 | Sportradar Group AG | 10.95 Bn | 10.59 Bn | 376.06 Mn | -27.17 Mn |
| 4 | Elastic | 9.14 Bn | 7.68 Bn | 356.19 Mn | 6.28 Mn |
| 5 | Genius Sports | 2.86 Bn | 2.70 Bn | 63.79 Mn | 2.82 Mn |
| 6 | Teradata | 2.69 Bn | 2.27 Bn | 243.00 Mn | 6.00 Mn |
| 7 | Datavault AI | 128.17 Mn | 128.17 Mn | 2.88 Mn | 1.00 Mn |
| 8 | Intermap Technologies | 47.08 Mn | 30.91 Mn | - | -38,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.82 Mn |
| Mar 31, 2026 | 1.22 Mn |
| Dec 31, 2025 | 1.34 Mn |
| Sep 30, 2025 | 994,000.00 |
| Jun 30, 2025 | 986,000.00 |
| Mar 31, 2025 | 644,000.00 |
| Dec 31, 2024 | 645,000.00 |
| Sep 30, 2024 | 401,000.00 |
| Dec 31, 2023 | 5,000.00 |
| Sep 30, 2023 | 2,000.00 |
| Mar 31, 2023 | 1,000.00 |
| Dec 31, 2022 | -354,000.00 |
| Sep 30, 2022 | -367,000.00 |
| Jun 30, 2022 | -375,000.00 |
| Mar 31, 2022 | -391,000.00 |
| Dec 31, 2021 | -146,000.00 |
| Sep 30, 2021 | -175,000.00 |
| Mar 31, 2021 | -2.35 Mn |
| Dec 31, 2020 | -2.08 Mn |
| Sep 30, 2020 | 209,000.00 |
Genius Sports Interest 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=interest-expenses&ticker=GENI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-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=interest-expenses&ticker=GENI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();