Grandstand (GRSD) Acquisitions (2022 - 2025)
Grandstand's Acquisitions came in at $1.88 million for the quarter ended Dec 31, 2025.
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Analysis
Grandstand (GRSD) Acquisitions (2022 - 2025) Analysis & Trends
For the year ended Dec 31, 2025, Grandstand's Acquisitions was -$68.5 million.
- Going back by year, Acquisitions was -$23.41 million in the year ended Dec 31, 2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Acquisitions (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 466.92 Bn | 435.87 Bn | 1.64 Bn | - |
| 2 | Oracle | 394.94 Bn | 267.07 Bn | - | - |
| 3 | Sap Se | 264.50 Bn | 192.28 Bn | 8.40 Bn | - |
| 4 | Salesforce | 196.36 Bn | 152.23 Bn | 8.70 Bn | 52.00 Mn |
| 5 | ServiceNow | 152.88 Bn | 131.34 Bn | 2.82 Bn | 7.45 Bn |
| 6 | Automatic Data Processing | 117.30 Bn | 99.43 Bn | 2.51 Bn | -100,000.00 |
| 7 | Intuit | 92.32 Bn | 71.67 Bn | 3.44 Bn | - |
| 8 | Relx | 71.78 Bn | 70.87 Bn | - | - |
| 9 | Strategy | 50.75 Bn | 43.74 Bn | 81.55 Mn | - |
| 10 | Grandstand | 48.96 Mn | 8.57 Mn | 31.83 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 1.88 Mn |
| Sep 30, 2025 | -6.74 Mn |
| Jun 30, 2025 | 127.26 Mn |
| Mar 31, 2025 | -63.63 Mn |
| Dec 31, 2024 | -9.54 Mn |
| Sep 30, 2024 | -7.16 Mn |
| Jun 30, 2024 | -7.16 Mn |
| Mar 31, 2024 | -4.45 Mn |
| Dec 31, 2023 | 2.90 Mn |
| Sep 30, 2023 | -2.90 Mn |
| Jun 30, 2023 | 2.39 Mn |
| Mar 31, 2023 | -2.39 Mn |
| Dec 31, 2022 | 46.82 Mn |
| Sep 30, 2022 | -46.82 Mn |
| Jun 30, 2022 | -4.11 Mn |
| Mar 31, 2022 | 19.30 Mn |
API Access
Grandstand Acquisitions 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=acquisitions&ticker=GRSD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "acquisitions", "ticker": "GRSD", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=acquisitions&ticker=GRSD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();