Grandstand (GRSD) Revenue (2020 - 2026)
Grandstand's Revenue was $37.76 million in the quarter ended Jun 30, 2026, down 4.6% from $39.59 million a year earlier and down 6.6% from the prior quarter.
Grandstand (GRSD) Revenue (2020 - 2026) Analysis & Trends
On a trailing twelve-month basis, Grandstand's Revenue was $163.42 million through Jun 30, 2026, up 10.7% year-over-year; for the year ended Dec 31, 2025, it came in at $165.45 million, up 30.1% from the prior year.
- Revenue has now increased for six consecutive years, with a five-year compound annual growth rate of 42.7% (years ended Dec 2020 to Dec 2025).
- In earlier years, Revenue was $127.18 million in the year ended Dec 31, 2024 (+17.1%), $108.65 million in the year ended Dec 31, 2023 (+42.0%), $76.51 million in the year ended Dec 31, 2022 (+80.8%) and $42.32 million in the year ended Dec 31, 2021 (+51.3%).
- The figure for the quarter ended Jun 30, 2026 marks the lowest quarterly Revenue since the quarter ended Dec 31, 2024.
- Compared with a year earlier, Revenue was higher in six of the last eight quarters, with growth averaging 20.2%.
- The best year-over-year quarter for Revenue over five years was the quarter ended Dec 31, 2022 (growth of 107.5%); the worst was the quarter ended Jun 30, 2026 (a decline of 4.6%).
- Per Business Quant data, GRSD's Revenue in the three quarters before the quarter ended Jun 30, 2026 was $40.44 million (quarter ended Mar 31, 2026), $46.24 million (quarter ended Dec 31, 2025) and $38.98 million (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 450.50 Bn | 419.56 Bn | 1.64 Bn | 1.94 Bn |
| 2 | Oracle | 401.01 Bn | 273.57 Bn | - | 19.35 Bn |
| 3 | Sap Se | 257.03 Bn | 178.11 Bn | 8.40 Bn | 11.48 Bn |
| 4 | Salesforce | 187.04 Bn | 142.92 Bn | 8.70 Bn | 11.35 Bn |
| 5 | ServiceNow | 135.91 Bn | 114.37 Bn | 2.82 Bn | 3.99 Bn |
| 6 | Automatic Data Processing | 104.14 Bn | 86.27 Bn | 2.51 Bn | 5.47 Bn |
| 7 | Intuit | 72.30 Bn | 51.65 Bn | 3.44 Bn | 4.35 Bn |
| 8 | Relx | 60.17 Bn | 57.14 Bn | - | - |
| 9 | Strategy | 55.31 Bn | 48.30 Bn | 81.55 Mn | 122.37 Mn |
| 10 | Grandstand | 54.40 Mn | 14.01 Mn | 31.83 Mn | 37.76 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 37.76 Mn |
| Mar 31, 2026 | 40.44 Mn |
| Dec 31, 2025 | 46.24 Mn |
| Sep 30, 2025 | 38.98 Mn |
| Jun 30, 2025 | 39.59 Mn |
| Mar 31, 2025 | 40.64 Mn |
| Dec 31, 2024 | 35.31 Mn |
| Sep 30, 2024 | 32.12 Mn |
| Jun 30, 2024 | 30.54 Mn |
| Mar 31, 2024 | 29.22 Mn |
| Dec 31, 2023 | 32.53 Mn |
| Sep 30, 2023 | 23.46 Mn |
| Jun 30, 2023 | 25.97 Mn |
| Mar 31, 2023 | 26.69 Mn |
| Dec 31, 2022 | 21.35 Mn |
| Sep 30, 2022 | 19.65 Mn |
| Jun 30, 2022 | 15.92 Mn |
| Mar 31, 2022 | 19.59 Mn |
| Dec 31, 2021 | 10.29 Mn |
| Sep 30, 2021 | 10.12 Mn |
Grandstand Revenue 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=revenue&ticker=GRSD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=GRSD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();