Grandstand (GRSD) Assets (2020 - 2026)
Grandstand's Assets came in at $284.42 million for the quarter ended Jun 30, 2026, down 7.9% from $308.96 million a year earlier and down 2.1% from the prior quarter.
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Analysis
Grandstand (GRSD) Assets (2020 - 2026) Analysis & Trends
As of Dec 31, 2025, Grandstand's Assets was $299.67 million, up 67.8% from the prior year.
- Assets has increased in each of the last five years, with a five-year compound annual growth rate of 45.9% (years ended Dec 2020 to Dec 2025).
- Going back by year, Assets was $178.58 million in the year ended Dec 31, 2024 (+15.3%), $154.87 million in the year ended Dec 31, 2023 (+11.5%), $138.88 million in the year ended Dec 31, 2022 (+52.6%) and $91.03 million in the year ended Dec 31, 2021 (+100.6%).
- The figure for the quarter ended Jun 30, 2026 represents the lowest quarterly Assets since the quarter ended Dec 31, 2024.
- Year-over-year, Assets increased in six of the last eight quarters, with growth averaging 43.2%.
- The fastest year-over-year change in Assets over five years came in the quarter ended Jun 30, 2022 (growth of 139.1%), and the weakest in the quarter ended Jun 30, 2026 (a decline of 7.9%).
- Business Quant data shows GRSD's Assets at $290.65 million (quarter ended Mar 31, 2026), $299.67 million (quarter ended Dec 31, 2025) and $305.12 million (quarter ended Sep 30, 2025) in the three quarters before the quarter ended Jun 30, 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 468.76 Bn | 437.71 Bn | 1.64 Bn | 11.68 Bn |
| 2 | Oracle | 396.29 Bn | 268.43 Bn | - | 303.26 Bn |
| 3 | Sap Se | 264.67 Bn | 192.45 Bn | 8.40 Bn | 86.36 Bn |
| 4 | Salesforce | 196.81 Bn | 152.68 Bn | 8.70 Bn | 109.62 Bn |
| 5 | ServiceNow | 152.47 Bn | 130.93 Bn | 2.82 Bn | 31.67 Bn |
| 6 | Automatic Data Processing | 116.53 Bn | 98.66 Bn | 2.51 Bn | 63.19 Bn |
| 7 | Intuit | 91.69 Bn | 71.04 Bn | 3.44 Bn | 36.79 Bn |
| 8 | Relx | 71.87 Bn | 70.96 Bn | - | 19.92 Bn |
| 9 | Strategy | 51.26 Bn | 44.25 Bn | 81.55 Mn | 52.56 Bn |
| 10 | Grandstand | 48.96 Mn | 8.57 Mn | 31.83 Mn | 284.42 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 284.42 Mn |
| Mar 31, 2026 | 290.65 Mn |
| Dec 31, 2025 | 299.67 Mn |
| Sep 30, 2025 | 305.12 Mn |
| Jun 30, 2025 | 308.96 Mn |
| Mar 31, 2025 | 305.91 Mn |
| Dec 31, 2024 | 178.58 Mn |
| Sep 30, 2024 | 188.54 Mn |
| Jun 30, 2024 | 175.15 Mn |
| Mar 31, 2024 | 150.30 Mn |
| Dec 31, 2023 | 154.87 Mn |
| Sep 30, 2023 | 141.48 Mn |
| Jun 30, 2023 | 143.14 Mn |
| Mar 31, 2023 | 147.47 Mn |
| Dec 31, 2022 | 138.88 Mn |
| Sep 30, 2022 | 132.96 Mn |
| Jun 30, 2022 | 131.82 Mn |
| Mar 31, 2022 | 139.61 Mn |
| Dec 31, 2021 | 91.03 Mn |
| Sep 30, 2021 | 91.65 Mn |
API Access
Grandstand Assets 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=assets&ticker=GRSD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "assets", "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=assets&ticker=GRSD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();