Grandstand (GRSD) EBITDA (2020 - 2026)
Grandstand's EBITDA came in at $2.17 million for the quarter ended Jun 30, 2026, compared with -$11 million a year earlier and down 69.4% from the prior quarter.
Powered by 
Analysis
Grandstand (GRSD) EBITDA (2020 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Grandstand reported EBITDA of -$10.46 million; for the year ended Dec 31, 2025, it was -$17.37 million.
- Going back by year, EBITDA was $41.48 million in the year ended Dec 31, 2024 (+73.8%), $23.87 million in the year ended Dec 31, 2023 (+170.1%), $8.84 million in the year ended Dec 31, 2022 (-35.9%) and $13.79 million in the year ended Dec 31, 2021 (+3.3%).
- The five-year range for quarterly EBITDA is -$21.84 million (the quarter ended Dec 31, 2025) to $13.81 million (the quarter ended Mar 31, 2025).
- Year-over-year, EBITDA increased in three of the last five quarters, with growth averaging 16.8%.
- The fastest year-over-year change in EBITDA over five years came in the quarter ended Jun 30, 2024 (growth of 718.2%), and the weakest in the quarter ended Sep 30, 2025 (a decline of 81.3%).
- Business Quant data shows GRSD's EBITDA at $7.08 million (quarter ended Mar 31, 2026), -$21.84 million (quarter ended Dec 31, 2025) and $2.13 million (quarter ended Sep 30, 2025) in the three quarters before the quarter ended Jun 30, 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 450.50 Bn | 419.56 Bn | 1.64 Bn | 920.22 Mn |
| 2 | Oracle | 401.01 Bn | 273.57 Bn | - | 10.13 Bn |
| 3 | Sap Se | 257.03 Bn | 178.11 Bn | 8.40 Bn | 3.44 Bn |
| 4 | Salesforce | 187.04 Bn | 142.92 Bn | 8.70 Bn | 3.89 Bn |
| 5 | ServiceNow | 135.91 Bn | 114.37 Bn | 2.82 Bn | 741.00 Mn |
| 6 | Automatic Data Processing | 104.14 Bn | 86.27 Bn | 2.51 Bn | -1.38 Bn |
| 7 | Intuit | 72.30 Bn | 51.65 Bn | 3.44 Bn | 693.00 Mn |
| 8 | Relx | 60.17 Bn | 57.14 Bn | - | - |
| 9 | Strategy | 55.31 Bn | 48.30 Bn | 81.55 Mn | -8.32 Bn |
| 10 | Grandstand | 54.40 Mn | 14.01 Mn | 31.83 Mn | 2.17 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.17 Mn |
| Mar 31, 2026 | 7.08 Mn |
| Dec 31, 2025 | -21.84 Mn |
| Sep 30, 2025 | 2.13 Mn |
| Jun 30, 2025 | -11.00 Mn |
| Mar 31, 2025 | 13.81 Mn |
| Dec 31, 2024 | 11.62 Mn |
| Sep 30, 2024 | 11.40 Mn |
| Jun 30, 2024 | 9.94 Mn |
| Mar 31, 2024 | 8.52 Mn |
| Dec 31, 2023 | 8.74 Mn |
| Sep 30, 2023 | 5.21 Mn |
| Jun 30, 2023 | 1.22 Mn |
| Mar 31, 2023 | 8.70 Mn |
| Dec 31, 2022 | 1.10 Mn |
| Sep 30, 2022 | 1.94 Mn |
| Jun 30, 2022 | -297,000.00 |
| Mar 31, 2022 | 6.10 Mn |
| Dec 31, 2021 | 1.22 Mn |
| Sep 30, 2021 | 2.99 Mn |
API Access
Grandstand EBITDA 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=ebitda&ticker=GRSD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=GRSD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();