Sportradar Group AG (SRAD) Total Non-Current Liabilities (2020 - 2026)
Sportradar Group AG (SRAD) reported Total Non-Current Liabilities of $1.29 billion for Q2 2026, up 22.6% from $1.05 billion a year earlier but down 3.8% from the prior quarter.
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Analysis
Sportradar Group AG (SRAD) Total Non-Current Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025, Sportradar Group AG posted Total Non-Current Liabilities of $1.36 billion, up 26.8% from FY2024.
- Total Non-Current Liabilities has increased for three consecutive years, with a five-year compound annual growth rate of 52.1% (FY2020 to FY2025).
- By year, Total Non-Current Liabilities came in at $1.07 billion in FY2024 (+9.1%), $982.74 million in FY2023 (+252.3%), $278.95 million in FY2022 (-26.4%) and $379.19 million in FY2021 (+127.2%).
- Five-year quarterly Total Non-Current Liabilities spans a low of $270.02 million in Q4 2022 and a high of $1.4 billion in Q4 2025.
- Year over year, Total Non-Current Liabilities has now increased in each of the last 11 quarters, with growth averaging 45.4% over the last eight quarters.
- The high point for year-over-year Total Non-Current Liabilities in five years was Q4 2023 (growth of 262.0%); the low point was Q3 2022 (a decline of 68.0%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $1.34 billion (Q1 2026), $1.4 billion (Q4 2025) and $1.07 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 319.55 Bn | 304.63 Bn | 2.30 Bn | 19.68 Bn |
| 2 | CrowdStrike Holdings | 265.46 Bn | 245.90 Bn | 1.10 Bn | 6.57 Bn |
| 3 | Fortinet | 129.36 Bn | 115.29 Bn | 1.64 Bn | 9.17 Bn |
| 4 | Snowflake | 115.65 Bn | 102.97 Bn | 1.04 Bn | 6.45 Bn |
| 5 | Datadog | 96.45 Bn | 78.09 Bn | 881.34 Mn | 3.16 Bn |
| 6 | Axon Enterprise | 34.50 Bn | 29.03 Bn | 546.45 Mn | 3.68 Bn |
| 7 | Okta | 33.79 Bn | 23.89 Bn | 641.00 Mn | 2.11 Bn |
| 8 | Zscaler | 32.51 Bn | 18.63 Bn | - | 5.20 Bn |
| 9 | Baidu | 29.59 Bn | -44.04 Bn | 1.47 Mn | 12.63 Bn |
| 10 | Sportradar Group AG | 11.28 Bn | 9.53 Bn | 376.06 Mn | 1.29 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.29 Bn |
| Mar 31, 2026 | 1.34 Bn |
| Dec 31, 2025 | 1.40 Bn |
| Sep 30, 2025 | 1.07 Bn |
| Jun 30, 2025 | 1.05 Bn |
| Mar 31, 2025 | 1.08 Bn |
| Dec 31, 2024 | 1.06 Bn |
| Sep 30, 2024 | 980.67 Mn |
| Jun 30, 2024 | 973.09 Mn |
| Mar 31, 2024 | 979.93 Mn |
| Dec 31, 2023 | 977.49 Mn |
| Sep 30, 2023 | 281.81 Mn |
| Jun 30, 2023 | 298.94 Mn |
| Mar 31, 2023 | 292.77 Mn |
| Dec 31, 2022 | 270.02 Mn |
| Sep 30, 2022 | 292.73 Mn |
| Jun 30, 2022 | 340.46 Mn |
| Mar 31, 2022 | 366.27 Mn |
| Dec 31, 2021 | 366.56 Mn |
| Sep 30, 2021 | 913.75 Mn |
API Access
Sportradar Group AG Total Non-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-non-current-liabilities&ticker=SRAD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=SRAD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();