Grandstand (GRSD) Accumulated Expenses (2020 - 2026)
Grandstand's Accumulated Expenses was $5.58 million in the quarter ended Mar 31, 2026, up 25.7% from $4.44 million a year earlier but down 34.9% from the prior quarter.
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Analysis
Grandstand (GRSD) Accumulated Expenses (2020 - 2026) Analysis & Trends
As of Dec 31, 2025, Accumulated Expenses at Grandstand came in at $8.57 million, up 34.1% from the prior year.
- Accumulated Expenses shows a five-year compound annual growth rate of 42.7% (years ended Dec 2020 to Dec 2025).
- In earlier years, Accumulated Expenses was $6.39 million in the year ended Dec 31, 2024 (-16.5%), $7.66 million in the year ended Dec 31, 2023 and $290,000 in the year ended Dec 31, 2022.
- Quarterly Accumulated Expenses has moved between $290,000 (the quarter ended Dec 31, 2022) and $8.57 million (the quarter ended Dec 31, 2025) over five years.
- Compared with a year earlier, Accumulated Expenses has increased for three straight quarters, with growth averaging 17.9% over the last five quarters.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palantir Technologies | 481.74 Bn | 450.69 Bn | 1.64 Bn |
| 2 | Oracle | 375.08 Bn | 247.21 Bn | - |
| 3 | Sap Se | 279.27 Bn | 207.06 Bn | 8.40 Bn |
| 4 | Salesforce | 201.86 Bn | 157.73 Bn | 8.70 Bn |
| 5 | ServiceNow | 160.60 Bn | 139.06 Bn | 2.82 Bn |
| 6 | Automatic Data Processing | 120.51 Bn | 102.64 Bn | 2.51 Bn |
| 7 | Intuit | 94.33 Bn | 73.68 Bn | 3.44 Bn |
| 8 | Relx | 73.45 Bn | 72.54 Bn | - |
| 9 | Thomson Reuters | 53.58 Bn | 50.36 Bn | - |
| 10 | Grandstand | 45.06 Mn | 4.67 Mn | 31.83 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 5.58 Mn |
| Dec 31, 2025 | 8.57 Mn |
| Dec 31, 2022 | 290,000.00 |
| Sep 30, 2022 | 3.62 Mn |
| Sep 30, 2021 | 1.51 Mn |
| Jun 30, 2021 | 4.11 Mn |
| Dec 31, 2020 | 1.45 Mn |
API Access
Grandstand Accumulated Expenses 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=accumulated-expenses&ticker=GRSD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=GRSD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();