Sportradar Group AG (SRAD) Retained Earnings (2020 - 2026)
Sportradar Group AG's Retained Earnings came in at $371.61 million for Q2 2026, up 12.5% from $330.44 million a year earlier and up 0.1% from the prior quarter.
Sportradar Group AG (SRAD) Retained Earnings (2020 - 2026) Analysis & Trends
At the end of FY2025, Sportradar Group AG's Retained Earnings was $386.94 million, up 61.1% from FY2024.
- Retained Earnings has increased in each of the last five years, with a five-year compound annual growth rate of 37.9% (FY2020 to FY2025).
- Going back by year, Retained Earnings was $240.22 million in FY2024 (+27.9%), $187.82 million in FY2023 (+52.1%), $123.48 million in FY2022 (+16.3%) and $106.14 million in FY2021 (+36.7%).
- The five-year range for quarterly Retained Earnings is $102.61 million (Q4 2021) to $398.66 million (Q4 2025).
- Year-over-year, Retained Earnings has increased for 16 consecutive quarters, with growth averaging 49.6% over the last eight quarters.
- Across the past five years, year-over-year growth in Retained Earnings ran from 2.2% in Q2 2023 to 84.4% in Q2 2025.
- Business Quant data shows SRAD's Retained Earnings at $371.34 million (Q1 2026), $398.66 million (Q4 2025) and $382.24 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Retained Earnings (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 319.55 Bn | 304.63 Bn | 2.30 Bn | 2.79 Bn |
| 2 | CrowdStrike Holdings | 265.46 Bn | 245.90 Bn | 1.10 Bn | -1.25 Bn |
| 3 | Fortinet | 129.36 Bn | 115.29 Bn | 1.64 Bn | -316.70 Mn |
| 4 | Snowflake | 115.65 Bn | 102.97 Bn | 1.04 Bn | -10.28 Bn |
| 5 | Datadog | 96.45 Bn | 78.09 Bn | 881.34 Mn | 234.92 Mn |
| 6 | Axon Enterprise | 34.50 Bn | 29.03 Bn | 546.45 Mn | 1.14 Bn |
| 7 | Okta | 33.79 Bn | 23.89 Bn | 641.00 Mn | -2.38 Bn |
| 8 | Zscaler | 32.51 Bn | 18.63 Bn | - | -1.25 Bn |
| 9 | Baidu | 29.59 Bn | -44.04 Bn | 1.47 Mn | - |
| 10 | Sportradar Group AG | 11.28 Bn | 9.53 Bn | 376.06 Mn | 371.61 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 371.61 Mn |
| Mar 31, 2026 | 371.34 Mn |
| Dec 31, 2025 | 398.66 Mn |
| Sep 30, 2025 | 382.24 Mn |
| Jun 30, 2025 | 330.44 Mn |
| Mar 31, 2025 | 247.22 Mn |
| Dec 31, 2024 | 237.17 Mn |
| Sep 30, 2024 | 235.87 Mn |
| Jun 30, 2024 | 179.16 Mn |
| Mar 31, 2024 | 173.12 Mn |
| Dec 31, 2023 | 186.81 Mn |
| Sep 30, 2023 | 157.59 Mn |
| Jun 30, 2023 | 142.51 Mn |
| Mar 31, 2023 | 131.15 Mn |
| Dec 31, 2022 | 119.53 Mn |
| Sep 30, 2022 | 150.74 Mn |
| Jun 30, 2022 | 139.47 Mn |
| Mar 31, 2022 | 112.20 Mn |
| Dec 31, 2021 | 102.61 Mn |
| Sep 30, 2021 | 120.21 Mn |
Sportradar Group AG Retained Earnings 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=retained-earnings&ticker=SRAD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "retained-earnings", "ticker": "SRAD", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=retained-earnings&ticker=SRAD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();