Grandstand (GRSD) EBIT (2020 - 2026)
Grandstand (GRSD) posted EBIT of -$1.17 million for the quarter ended Jun 30, 2026, compared with -$14.37 million a year earlier.
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Analysis
Grandstand (GRSD) EBIT (2020 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EBIT at Grandstand was -$24.88 million; for the year ended Dec 31, 2025, it came in at -$31.79 million.
- In prior years, Grandstand's EBIT was $35.68 million in the year ended Dec 31, 2024 (+63.8%), $21.78 million in the year ended Dec 31, 2023, $1.88 million in the year ended Dec 31, 2022 (-83.5%) and $11.39 million in the year ended Dec 31, 2021 (+2.3%).
- Quarterly EBIT has run from a low of -$25.53 million in the quarter ended Dec 31, 2025 to a high of $10.03 million in the quarter ended Mar 31, 2025 over five years.
- On a year-over-year basis, EBIT increased in three of the last four quarters, with growth averaging 21.0%.
- The strongest year-over-year quarter for EBIT in the past five years was the quarter ended Sep 30, 2024, with growth of 103.7%; the weakest was the quarter ended Sep 30, 2022, with a decline of 93.5%.
- According to Business Quant data, EBIT for the three prior quarters was $3.27 million (quarter ended Mar 31, 2026), -$25.53 million (quarter ended Dec 31, 2025) and -$1.44 million (quarter ended Sep 30, 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBIT (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 450.50 Bn | 419.56 Bn | 1.64 Bn | 912.00 Mn |
| 2 | Oracle | 401.01 Bn | 273.57 Bn | - | 6.73 Bn |
| 3 | Sap Se | 257.03 Bn | 178.11 Bn | 8.40 Bn | 3.07 Bn |
| 4 | Salesforce | 187.04 Bn | 142.92 Bn | 8.70 Bn | 2.33 Bn |
| 5 | ServiceNow | 135.91 Bn | 114.37 Bn | 2.82 Bn | 162.00 Mn |
| 6 | Automatic Data Processing | 104.14 Bn | 86.27 Bn | 2.51 Bn | -1.82 Bn |
| 7 | Intuit | 72.30 Bn | 51.65 Bn | 3.44 Bn | 475.00 Mn |
| 8 | Relx | 60.17 Bn | 57.14 Bn | - | - |
| 9 | Strategy | 55.31 Bn | 48.30 Bn | 81.55 Mn | -8.33 Bn |
| 10 | Grandstand | 54.40 Mn | 14.01 Mn | 31.83 Mn | -1.17 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -1.17 Mn |
| Mar 31, 2026 | 3.27 Mn |
| Dec 31, 2025 | -25.53 Mn |
| Sep 30, 2025 | -1.44 Mn |
| Jun 30, 2025 | -14.37 Mn |
| Mar 31, 2025 | 10.03 Mn |
| Dec 31, 2024 | 9.86 Mn |
| Sep 30, 2024 | 9.60 Mn |
| Jun 30, 2024 | 8.32 Mn |
| Mar 31, 2024 | 7.89 Mn |
| Dec 31, 2023 | 8.17 Mn |
| Sep 30, 2023 | 4.72 Mn |
| Jun 30, 2023 | 735,000.00 |
| Mar 31, 2023 | 8.16 Mn |
| Dec 31, 2022 | -305,000.00 |
| Sep 30, 2022 | 156,000.00 |
| Jun 30, 2022 | -2.25 Mn |
| Mar 31, 2022 | 4.28 Mn |
| Dec 31, 2021 | 623,000.00 |
| Sep 30, 2021 | 2.40 Mn |
API Access
Grandstand EBIT 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=ebit&ticker=GRSD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebit", "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=ebit&ticker=GRSD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();