Grandstand (GRSD) Operating Expenses (2020 - 2026)
Grandstand (GRSD) posted Operating Expenses of -$9.02 million for the quarter ended Jun 30, 2026, compared with -$8.42 million a year earlier.
Powered by 
Analysis
Grandstand (GRSD) Operating Expenses (2020 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at Grandstand was -$30.57 million; for the year ended Dec 31, 2025, it was -$31.1 million.
- In prior years, Grandstand's Operating Expenses was -$25.12 million in the year ended Dec 31, 2024, -$23.68 million in the year ended Dec 31, 2023, -$18.7 million in the year ended Dec 31, 2022 and -$30.93 million in the year ended Dec 31, 2021.
- The figure for the quarter ended Jun 30, 2026 stands as the lowest quarterly Operating Expenses in data going back to the quarter ended Jun 30, 2020.
- According to Business Quant data, Operating Expenses for the three prior quarters was -$8.16 million (quarter ended Mar 31, 2026), -$5.74 million (quarter ended Dec 31, 2025) and -$7.66 million (quarter ended Sep 30, 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 450.50 Bn | 419.56 Bn | 1.64 Bn | 726.59 Mn |
| 2 | Oracle | 401.01 Bn | 273.57 Bn | - | 12.62 Bn |
| 3 | Sap Se | 257.03 Bn | 178.11 Bn | 8.40 Bn | -8.41 Bn |
| 4 | Salesforce | 187.04 Bn | 142.92 Bn | 8.70 Bn | 6.37 Bn |
| 5 | ServiceNow | 135.91 Bn | 114.37 Bn | 2.82 Bn | 2.66 Bn |
| 6 | Automatic Data Processing | 104.14 Bn | 86.27 Bn | 2.51 Bn | 4.34 Bn |
| 7 | Intuit | 72.30 Bn | 51.65 Bn | 3.44 Bn | 3.88 Bn |
| 8 | Relx | 60.17 Bn | 57.14 Bn | - | - |
| 9 | Strategy | 55.31 Bn | 48.30 Bn | 81.55 Mn | 8.41 Bn |
| 10 | Grandstand | 54.40 Mn | 14.01 Mn | 31.83 Mn | -9.02 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -9.02 Mn |
| Mar 31, 2026 | -8.16 Mn |
| Dec 31, 2025 | -5.74 Mn |
| Sep 30, 2025 | -7.66 Mn |
| Jun 30, 2025 | -8.42 Mn |
| Mar 31, 2025 | -7.68 Mn |
| Dec 31, 2024 | -7.03 Mn |
| Sep 30, 2024 | -6.04 Mn |
| Jun 30, 2024 | -6.24 Mn |
| Mar 31, 2024 | -6.30 Mn |
| Dec 31, 2023 | -6.81 Mn |
| Sep 30, 2023 | -4.83 Mn |
| Jun 30, 2023 | -6.93 Mn |
| Mar 31, 2023 | -5.34 Mn |
| Dec 31, 2022 | -4.53 Mn |
| Sep 30, 2022 | -4.69 Mn |
| Jun 30, 2022 | -4.80 Mn |
| Mar 31, 2022 | -4.83 Mn |
| Dec 31, 2021 | -3.88 Mn |
| Sep 30, 2021 | -7.72 Mn |
API Access
Grandstand 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=operating-expenses&ticker=GRSD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=operating-expenses&ticker=GRSD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();