Sportradar Group AG (SRAD) Non-cash Items (2020 - 2026)
Sportradar Group AG (SRAD) recorded Non-cash Items of $151.77 million in Q2 2026, up 3.0% from $147.32 million a year earlier but down 13.7% from the prior quarter.
Sportradar Group AG (SRAD) Non-cash Items (2020 - 2026) Analysis & Trends
On a TTM basis, Sportradar Group AG's Non-cash Items came in at $644.56 million as of Jun 30, 2026, up 26.2% year-over-year; for FY2025, it came in at $591.93 million, up 24.4% from FY2024.
- Annual Non-cash Items has increased for six straight years, with a five-year compound annual growth rate of 26.9% (FY2020 to FY2025).
- Across earlier years, Non-cash Items came in at $475.73 million in FY2024 (+39.6%), $340.77 million in FY2023 (+38.4%), $246.21 million in FY2022 (+5.6%) and $233.05 million in FY2021 (+29.5%).
- Quarterly Non-cash Items has ranged from $45.86 million in Q3 2021 to $175.88 million in Q1 2026 over the past five years.
- On a year-over-year basis, Non-cash Items has increased for 14 consecutive quarters, with growth averaging 25.5% over the last eight quarters.
- Peak year-over-year performance for Non-cash Items in the last five years was growth of 87.7% in Q4 2023, against a decline of 8.3% in Q4 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $175.88 million (Q1 2026), $170.6 million (Q4 2025) and $146.32 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palo Alto Networks | 319.55 Bn | 304.63 Bn | 2.30 Bn |
| 2 | CrowdStrike Holdings | 265.46 Bn | 245.90 Bn | 1.10 Bn |
| 3 | Fortinet | 129.36 Bn | 115.29 Bn | 1.64 Bn |
| 4 | Snowflake | 115.65 Bn | 102.97 Bn | 1.04 Bn |
| 5 | Datadog | 96.45 Bn | 78.09 Bn | 881.34 Mn |
| 6 | Axon Enterprise | 34.50 Bn | 29.03 Bn | 546.45 Mn |
| 7 | Okta | 33.79 Bn | 23.89 Bn | 641.00 Mn |
| 8 | Zscaler | 32.51 Bn | 18.63 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 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 151.77 Mn |
| Mar 31, 2026 | 175.88 Mn |
| Dec 31, 2025 | 170.60 Mn |
| Sep 30, 2025 | 146.32 Mn |
| Jun 30, 2025 | 147.32 Mn |
| Mar 31, 2025 | 128.39 Mn |
| Dec 31, 2024 | 130.64 Mn |
| Sep 30, 2024 | 104.41 Mn |
| Jun 30, 2024 | 122.92 Mn |
| Mar 31, 2024 | 117.41 Mn |
| Dec 31, 2023 | 95.80 Mn |
| Sep 30, 2023 | 81.59 Mn |
| Jun 30, 2023 | 86.83 Mn |
| Mar 31, 2023 | 76.54 Mn |
| Dec 31, 2022 | 51.05 Mn |
| Sep 30, 2022 | 56.79 Mn |
| Jun 30, 2022 | 66.18 Mn |
| Mar 31, 2022 | 73.21 Mn |
| Dec 31, 2021 | 55.66 Mn |
| Sep 30, 2021 | 45.86 Mn |
Sportradar Group AG Non-cash Items 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=non-cash-items&ticker=SRAD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-cash-items", "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=non-cash-items&ticker=SRAD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();