Grandstand (GRSD) Other Operating Expenses (2020 - 2025)
Grandstand's Other Operating Expenses was -$18.52 million in the quarter ended Dec 31, 2025.
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Analysis
Grandstand (GRSD) Other Operating Expenses (2020 - 2025) Analysis & Trends
For the year ended Dec 31, 2025, Other Operating Expenses at Grandstand came in at -$47.68 million.
- In earlier years, Other Operating Expenses was -$6.94 million in the year ended Dec 31, 2023 and -$10.85 million in the year ended Dec 31, 2022.
- The figure for the quarter ended Dec 31, 2025 marks the lowest quarterly Other Operating Expenses in data going back to the quarter ended Jun 30, 2020.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palantir Technologies | 466.79 Bn | 435.74 Bn | 1.64 Bn |
| 2 | Oracle | 393.53 Bn | 265.67 Bn | - |
| 3 | Sap Se | 264.27 Bn | 192.05 Bn | 8.40 Bn |
| 4 | Salesforce | 196.12 Bn | 151.99 Bn | 8.70 Bn |
| 5 | ServiceNow | 152.68 Bn | 131.14 Bn | 2.82 Bn |
| 6 | Automatic Data Processing | 117.59 Bn | 99.72 Bn | 2.51 Bn |
| 7 | Intuit | 92.48 Bn | 71.83 Bn | 3.44 Bn |
| 8 | Relx | 72.07 Bn | 71.17 Bn | - |
| 9 | Strategy | 50.83 Bn | 43.82 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 | -18.52 Mn |
| Sep 30, 2025 | -7.53 Mn |
| Jun 30, 2025 | 21.16 Mn |
| Dec 31, 2023 | 13.88 Mn |
| Sep 30, 2023 | -13.88 Mn |
| Jun 30, 2023 | 6.09 Mn |
| Mar 31, 2023 | -852,000.00 |
| Dec 31, 2022 | -4.32 Mn |
| Sep 30, 2022 | -3.69 Mn |
| Jun 30, 2022 | 2.85 Mn |
| Sep 30, 2021 | -4.74 Mn |
| Sep 30, 2020 | -2.53 Mn |
API Access
Grandstand Other Operating 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=other-operating-expenses&ticker=GRSD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-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=other-operating-expenses&ticker=GRSD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();