Grandstand (GRSD) Operating Interest Expenses (2022 - 2025)
Grandstand (GRSD) recorded Operating Interest Expenses of $1.72 million in the quarter ended Dec 31, 2025, up 195.9% from $581,000 a year earlier.
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Analysis
Grandstand (GRSD) Operating Interest Expenses (2022 - 2025) Analysis & Trends
For the year ended Dec 31, 2025, Grandstand reported Operating Interest Expenses of $7.39 million, up 389.9% from the prior year.
- Annual Operating Interest Expenses has a three-year compound annual growth rate of 125.3% (years ended Dec 2022 to Dec 2025).
- Across earlier years, Operating Interest Expenses came in at $1.51 million in the year ended Dec 31, 2024 (+814.5%), $165,000 in the year ended Dec 31, 2023 (-74.5%) and $646,000 in the year ended Dec 31, 2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Op. Interest Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 450.50 Bn | 419.56 Bn | 1.64 Bn | - |
| 2 | Oracle | 401.01 Bn | 273.57 Bn | - | - |
| 3 | Sap Se | 257.03 Bn | 178.11 Bn | 8.40 Bn | - |
| 4 | Salesforce | 187.04 Bn | 142.92 Bn | 8.70 Bn | - |
| 5 | ServiceNow | 135.91 Bn | 114.37 Bn | 2.82 Bn | - |
| 6 | Automatic Data Processing | 104.14 Bn | 86.27 Bn | 2.51 Bn | - |
| 7 | Intuit | 72.30 Bn | 51.65 Bn | 3.44 Bn | - |
| 8 | Relx | 60.17 Bn | 57.14 Bn | - | - |
| 9 | Strategy | 55.31 Bn | 48.30 Bn | 81.55 Mn | - |
| 10 | Grandstand | 54.40 Mn | 14.01 Mn | 31.83 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 1.72 Mn |
| Dec 31, 2024 | 581,000.00 |
| Dec 31, 2023 | 38,000.00 |
| Dec 31, 2022 | 150,000.00 |
API Access
Grandstand Operating Interest Expenses 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-interest-expenses&ticker=GRSD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-interest-expenses", "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-interest-expenses&ticker=GRSD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();