Genius Sports (GENI) Selling, General & Administrative (2019 - 2026)
Genius Sports (GENI) reported Selling, General & Administrative of $59.54 million for Q2 2026, down 7.7% from $64.5 million a year earlier but up 10.4% from the prior quarter.
Genius Sports (GENI) Selling, General & Administrative (2019 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Genius Sports' Selling, General & Administrative came in at $222.39 million, up 31.1% year-over-year; for FY2025, it came in at $207.97 million, up 69.1% from FY2024.
- Selling, General & Administrative has a five-year compound annual growth rate of 45.7% (FY2020 to FY2025).
- By year, Selling, General & Administrative came in at $123.01 million in FY2024 (+44.4%), $85.17 million in FY2023 (-30.7%), $122.83 million in FY2022 (-58.1%) and $293.17 million in FY2021 (+827.1%).
- Five-year quarterly Selling, General & Administrative spans a low of $18.07 million in Q1 2023 and a high of $64.5 million in Q2 2025.
- Year over year, Selling, General & Administrative gained in seven of the last eight quarters, with growth averaging 52.8%.
- The high point for year-over-year Selling, General & Administrative in five years was Q3 2021 (growth of 315.5%); the low point was Q1 2023 (a decline of 44.9%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $53.92 million (Q1 2026), $63.27 million (Q4 2025) and $45.67 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 260.12 Bn | 245.19 Bn | 2.30 Bn | 226.00 Mn |
| 2 | CrowdStrike Holdings | 232.49 Bn | 212.89 Bn | 1.10 Bn | 175.95 Mn |
| 3 | Fortinet | 125.70 Bn | 111.63 Bn | 1.64 Bn | 61.10 Mn |
| 4 | Snowflake | 110.19 Bn | 97.50 Bn | 1.04 Bn | 120.59 Mn |
| 5 | Datadog | 92.71 Bn | 74.35 Bn | 881.34 Mn | 86.40 Mn |
| 6 | Zscaler | 34.07 Bn | 20.19 Bn | - | - |
| 7 | Okta | 33.06 Bn | 23.16 Bn | 641.00 Mn | 98.00 Mn |
| 8 | Axon Enterprise | 30.90 Bn | 25.43 Bn | 546.45 Mn | 290.98 Mn |
| 9 | MongoDB | 28.04 Bn | 18.51 Bn | 569.77 Mn | 74.42 Mn |
| 10 | Genius Sports | 1.68 Bn | 839.26 Mn | 63.79 Mn | 59.54 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 59.54 Mn |
| Mar 31, 2026 | 53.92 Mn |
| Dec 31, 2025 | 63.27 Mn |
| Sep 30, 2025 | 45.67 Mn |
| Jun 30, 2025 | 64.50 Mn |
| Mar 31, 2025 | 34.54 Mn |
| Dec 31, 2024 | 40.16 Mn |
| Sep 30, 2024 | 30.40 Mn |
| Jun 30, 2024 | 30.87 Mn |
| Mar 31, 2024 | 21.59 Mn |
| Dec 31, 2023 | 27.08 Mn |
| Sep 30, 2023 | 20.40 Mn |
| Jun 30, 2023 | 19.62 Mn |
| Mar 31, 2023 | 18.07 Mn |
| Dec 31, 2022 | 32.87 Mn |
| Sep 30, 2022 | 24.88 Mn |
| Jun 30, 2022 | 32.28 Mn |
| Mar 31, 2022 | 32.80 Mn |
| Dec 31, 2021 | 30.73 Mn |
| Sep 30, 2021 | 28.74 Mn |
Genius Sports Selling, General & Administrative 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=selling-general-and-administrative&ticker=GENI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=GENI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();