Sportradar Group AG (SRAD) Retained Earnings (2019 - 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 (2019 - 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 | 260.12 Bn | 245.19 Bn | 2.30 Bn | 2.79 Bn |
| 2 | CrowdStrike Holdings | 232.49 Bn | 212.89 Bn | 1.10 Bn | -1.25 Bn |
| 3 | Fortinet | 125.70 Bn | 111.63 Bn | 1.64 Bn | -316.70 Mn |
| 4 | Snowflake | 110.19 Bn | 97.50 Bn | 1.04 Bn | -10.28 Bn |
| 5 | Datadog | 92.71 Bn | 74.35 Bn | 881.34 Mn | 234.92 Mn |
| 6 | Zscaler | 34.07 Bn | 20.19 Bn | - | -1.25 Bn |
| 7 | Okta | 33.06 Bn | 23.16 Bn | 641.00 Mn | -2.38 Bn |
| 8 | Axon Enterprise | 30.90 Bn | 25.43 Bn | 546.45 Mn | 1.14 Bn |
| 9 | MongoDB | 28.04 Bn | 18.51 Bn | 569.77 Mn | -1.87 Bn |
| 10 | Sportradar Group AG | 12.50 Bn | 10.78 Bn | - | 365.16 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 365.16 Mn |
| Mar 31, 2026 | 363.50 Mn |
| Dec 31, 2025 | 401.82 Mn |
| Sep 30, 2025 | 383.57 Mn |
| Jun 30, 2025 | 342.35 Mn |
| Mar 31, 2025 | 254.39 Mn |
| Dec 31, 2024 | 230.96 Mn |
| Sep 30, 2024 | 239.90 Mn |
| Jun 30, 2024 | 178.16 Mn |
| Mar 31, 2024 | 172.02 Mn |
| Dec 31, 2023 | 192.18 Mn |
| Sep 30, 2023 | 152.90 Mn |
| Jun 30, 2023 | 142.23 Mn |
| Mar 31, 2023 | 133.25 Mn |
| Dec 31, 2022 | 124.90 Mn |
| Sep 30, 2022 | 146.96 Mn |
| Jun 30, 2022 | 136.54 Mn |
| Mar 31, 2022 | 111.58 Mn |
| Dec 31, 2021 | 101.58 Mn |
| Sep 30, 2021 | 118.26 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();