Grandstand (GRSD) Selling, General & Administrative (2020 - 2026)
Grandstand (GRSD) reported Selling, General & Administrative of -$9.02 million for the quarter ended Jun 30, 2026, compared with -$8.42 million a year earlier.
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Analysis
Grandstand (GRSD) Selling, General & Administrative (2020 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Grandstand's Selling, General & Administrative came in at -$33.31 million; for the year ended Dec 31, 2025, it came in at -$32.17 million.
- By year, Selling, General & Administrative came in at -$27.65 million in the year ended Dec 31, 2024, -$24.29 million in the year ended Dec 31, 2023, -$19.52 million in the year ended Dec 31, 2022 and -$13.01 million in the year ended Dec 31, 2021.
- The figure for the quarter ended Jun 30, 2026 ranks as the lowest quarterly Selling, General & Administrative since the quarter ended Dec 31, 2024.
- Per Business Quant data, the three quarters before the quarter ended Jun 30, 2026 came in at -$8.16 million (quarter ended Mar 31, 2026), -$8.48 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) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 462.03 Bn | 430.98 Bn | 1.64 Bn | 194.58 Mn |
| 2 | Oracle | 387.48 Bn | 259.61 Bn | - | 376.00 Mn |
| 3 | Sap Se | 266.80 Bn | 194.59 Bn | 8.40 Bn | -469.59 Mn |
| 4 | Salesforce | 199.03 Bn | 154.91 Bn | 8.70 Bn | 725.00 Mn |
| 5 | ServiceNow | 154.48 Bn | 132.94 Bn | 2.82 Bn | 369.00 Mn |
| 6 | Automatic Data Processing | 117.71 Bn | 99.83 Bn | 2.51 Bn | 1.25 Bn |
| 7 | Intuit | 92.43 Bn | 71.78 Bn | 3.44 Bn | 391.00 Mn |
| 8 | Relx | 72.15 Bn | 71.24 Bn | - | - |
| 9 | Thomson Reuters | 50.59 Bn | 47.38 Bn | - | - |
| 10 | Grandstand | 48.07 Mn | 7.68 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 | -8.48 Mn |
| Sep 30, 2025 | -7.66 Mn |
| Jun 30, 2025 | 8.42 Mn |
| Mar 31, 2025 | -7.68 Mn |
| Dec 31, 2024 | -9.06 Mn |
| Sep 30, 2024 | -6.04 Mn |
| Jun 30, 2024 | 6.24 Mn |
| Mar 31, 2024 | -6.30 Mn |
| Dec 31, 2023 | -6.99 Mn |
| Sep 30, 2023 | -4.83 Mn |
| Jun 30, 2023 | 6.93 Mn |
| Mar 31, 2023 | -5.54 Mn |
| Dec 31, 2022 | -5.20 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 | -2.98 Mn |
API Access
Grandstand Selling, General & Administrative 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=selling-general-and-administrative&ticker=GRSD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=GRSD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();