Grandstand (GRSD) Operating Leases (2020 - 2026)
Grandstand (GRSD) posted Operating Leases of $2.96 million for the quarter ended Jun 30, 2026, down 26.8% from $4.05 million a year earlier and down 9.4% from the prior quarter.
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Analysis
Grandstand (GRSD) Operating Leases (2020 - 2026) Analysis & Trends
As of Dec 31, 2025, Grandstand's Operating Leases came in at $3.58 million, down 6.2% from the prior year.
- Annual Operating Leases shows a five-year compound annual growth rate of 18.1% (years ended Dec 2020 to Dec 2025).
- In prior years, Grandstand's Operating Leases was $3.82 million in the year ended Dec 31, 2024 (+220.9%), $1.19 million in the year ended Dec 31, 2023 (-21.6%), $1.52 million in the year ended Dec 31, 2022 (+18.0%) and $1.29 million in the year ended Dec 31, 2021 (-17.7%).
- The figure for the quarter ended Jun 30, 2026 stands as the lowest quarterly Operating Leases since the quarter ended Mar 31, 2024.
- On a year-over-year basis, Operating Leases has declined in each of the last five quarters, with growth averaging 79.8% over the last eight quarters.
- The strongest year-over-year quarter for Operating Leases in the past five years was the quarter ended Mar 31, 2025, with growth of 240.5%; the weakest was the quarter ended Jun 30, 2026, with a decline of 26.8%.
- According to Business Quant data, Operating Leases for the three prior quarters was $3.27 million (quarter ended Mar 31, 2026), $3.58 million (quarter ended Dec 31, 2025) and $3.87 million (quarter ended Sep 30, 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palantir Technologies | 462.03 Bn | 430.98 Bn | 1.64 Bn |
| 2 | Oracle | 387.48 Bn | 259.61 Bn | - |
| 3 | Sap Se | 266.80 Bn | 194.59 Bn | 8.40 Bn |
| 4 | Salesforce | 199.03 Bn | 154.91 Bn | 8.70 Bn |
| 5 | ServiceNow | 154.48 Bn | 132.94 Bn | 2.82 Bn |
| 6 | Automatic Data Processing | 117.71 Bn | 99.83 Bn | 2.51 Bn |
| 7 | Intuit | 92.43 Bn | 71.78 Bn | 3.44 Bn |
| 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 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.96 Mn |
| Mar 31, 2026 | 3.27 Mn |
| Dec 31, 2025 | 3.58 Mn |
| Sep 30, 2025 | 3.87 Mn |
| Jun 30, 2025 | 4.05 Mn |
| Mar 31, 2025 | 3.61 Mn |
| Dec 31, 2024 | 3.82 Mn |
| Sep 30, 2024 | 4.17 Mn |
| Jun 30, 2024 | 4.34 Mn |
| Mar 31, 2024 | 1.06 Mn |
| Dec 31, 2023 | 1.19 Mn |
| Sep 30, 2023 | 1.25 Mn |
| Jun 30, 2023 | 1.35 Mn |
| Mar 31, 2023 | 1.44 Mn |
| Dec 31, 2022 | 1.52 Mn |
| Sep 30, 2022 | 1.39 Mn |
| Jun 30, 2022 | 1.70 Mn |
| Mar 31, 2022 | 1.77 Mn |
| Dec 31, 2021 | 1.29 Mn |
| Sep 30, 2021 | 1.37 Mn |
API Access
Grandstand Operating Leases 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-leases&ticker=GRSD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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-leases&ticker=GRSD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();