Grandstand (GRSD) Long-Term Debt Repayments (2022 - 2026)
Grandstand (GRSD) posted Long-Term Debt Repayments of -$2.81 million for the quarter ended Jun 30, 2026.
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Analysis
Grandstand (GRSD) Long-Term Debt Repayments (2022 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Long-Term Debt Repayments at Grandstand was -$14.06 million; for the year ended Dec 31, 2025, it came in at -$31.82 million.
- In prior years, Grandstand's Long-Term Debt Repayments was -$21.06 million in the year ended Dec 31, 2024 and -$6 million in the year ended Dec 31, 2022.
- According to Business Quant data, Long-Term Debt Repayments for the three prior quarters was -$2.81 million (quarter ended Mar 31, 2026), -$2.81 million (quarter ended Dec 31, 2025) and -$5.63 million (quarter ended Sep 30, 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 466.36 Bn | 435.31 Bn | 1.64 Bn | - |
| 2 | Oracle | 391.65 Bn | 263.78 Bn | - | 4.20 Bn |
| 3 | Sap Se | 265.25 Bn | 193.03 Bn | 8.40 Bn | -1.86 Bn |
| 4 | Salesforce | 198.21 Bn | 154.08 Bn | 8.70 Bn | 176.00 Mn |
| 5 | ServiceNow | 153.16 Bn | 131.61 Bn | 2.82 Bn | - |
| 6 | Automatic Data Processing | 117.38 Bn | 99.51 Bn | 2.51 Bn | 300,000.00 |
| 7 | Intuit | 92.78 Bn | 72.13 Bn | 3.44 Bn | - |
| 8 | Relx | 72.02 Bn | 71.11 Bn | - | - |
| 9 | Strategy | 50.99 Bn | 43.98 Bn | 81.55 Mn | 1.38 Bn |
| 10 | Grandstand | 48.43 Mn | 8.04 Mn | 31.83 Mn | 8.44 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 8.44 Mn |
| Mar 31, 2026 | -2.81 Mn |
| Dec 31, 2025 | -2.81 Mn |
| Sep 30, 2025 | -5.63 Mn |
| Jun 30, 2025 | 46.76 Mn |
| Mar 31, 2025 | -23.38 Mn |
| Dec 31, 2024 | 42.12 Mn |
| Sep 30, 2024 | -21.06 Mn |
| Dec 31, 2022 | -6.00 Mn |
API Access
Grandstand Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=GRSD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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=long-term-debt-repayments&ticker=GRSD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();