Grandstand (GRSD) Market Capitalization (2021 - 2026)
Grandstand's Market Capitalization was $66.68 million in the quarter ended Jun 30, 2026, down 83.9% from $413.33 million a year earlier and down 51.0% from the prior quarter.
Grandstand (GRSD) Market Capitalization (2021 - 2026) Analysis & Trends
For the year ended Dec 31, 2025, Market Capitalization at Grandstand came in at $191.63 million, down 60.8% from the prior year.
- Market Capitalization shows a four-year compound annual growth rate of -13.6% (years ended Dec 2021 to Dec 2025).
- In earlier years, Market Capitalization was $489.46 million in the year ended Dec 31, 2024 (+34.9%), $362.92 million in the year ended Dec 31, 2023 (+8.8%), $333.7 million in the year ended Dec 31, 2022 (-2.7%) and $343.14 million in the year ended Dec 31, 2021.
- The figure for the quarter ended Jun 30, 2026 marks the lowest quarterly Market Capitalization in data going back to the quarter ended Sep 30, 2021.
- Compared with a year earlier, Market Capitalization has declined for four straight quarters, with an average decline of 20.0% over the last eight quarters.
- The best year-over-year quarter for Market Capitalization over five years was the quarter ended Sep 30, 2022 (growth of 181.4%); the worst was the quarter ended Jun 30, 2026 (a decline of 83.9%).
- Per Business Quant data, GRSD's Market Capitalization in the three quarters before the quarter ended Jun 30, 2026 was $136.18 million (quarter ended Mar 31, 2026), $191.63 million (quarter ended Dec 31, 2025) and $284.36 million (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palantir Technologies | 466.76 Bn | 435.71 Bn | 1.64 Bn |
| 2 | Oracle | 390.71 Bn | 262.84 Bn | - |
| 3 | Sap Se | 265.95 Bn | 193.73 Bn | 8.40 Bn |
| 4 | Salesforce | 198.08 Bn | 153.95 Bn | 8.70 Bn |
| 5 | ServiceNow | 154.04 Bn | 132.50 Bn | 2.82 Bn |
| 6 | Automatic Data Processing | 117.32 Bn | 99.45 Bn | 2.51 Bn |
| 7 | Intuit | 92.72 Bn | 72.07 Bn | 3.44 Bn |
| 8 | Relx | 72.02 Bn | 71.11 Bn | - |
| 9 | Thomson Reuters | 50.38 Bn | 47.16 Bn | - |
| 10 | Grandstand | 48.43 Mn | 8.04 Mn | 31.83 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 66.68 Mn |
| Mar 31, 2026 | 136.18 Mn |
| Dec 31, 2025 | 191.63 Mn |
| Sep 30, 2025 | 284.36 Mn |
| Jun 30, 2025 | 413.33 Mn |
| Mar 31, 2025 | 438.71 Mn |
| Dec 31, 2024 | 489.46 Mn |
| Sep 30, 2024 | 372.97 Mn |
| Jun 30, 2024 | 305.97 Mn |
| Mar 31, 2024 | 339.84 Mn |
| Dec 31, 2023 | 362.92 Mn |
| Sep 30, 2023 | 477.03 Mn |
| Jun 30, 2023 | 373.46 Mn |
| Mar 31, 2023 | 361.42 Mn |
| Dec 31, 2022 | 333.70 Mn |
| Sep 30, 2022 | 256.93 Mn |
| Jun 30, 2022 | 266.06 Mn |
| Mar 31, 2022 | 299.86 Mn |
| Dec 31, 2021 | 343.14 Mn |
| Sep 30, 2021 | 91.30 Mn |
Grandstand Market Capitalization 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=market-capitalization&ticker=GRSD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "market-capitalization", "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=market-capitalization&ticker=GRSD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();