Grandstand (GRSD) Total Debt (2020 - 2026)
Grandstand (GRSD) recorded Total Debt of $10.11 million in the quarter ended Jun 30, 2026, down 88.8% from $90.27 million a year earlier but up 0.5% from the prior quarter.
Powered by 
Analysis
Grandstand (GRSD) Total Debt (2020 - 2026) Analysis & Trends
As of Dec 31, 2025, Grandstand reported Total Debt of $12.09 million, down 47.3% from the prior year.
- Annual Total Debt has a five-year compound annual growth rate of 15.2% (years ended Dec 2020 to Dec 2025).
- Across earlier years, Total Debt came in at $22.93 million in the year ended Dec 31, 2024, $308,000 in the year ended Dec 31, 2023 (+36.3%), $226,000 in the year ended Dec 31, 2022 (-98.1%) and $11.89 million in the year ended Dec 31, 2021 (+99.5%).
- Quarterly Total Debt has ranged from $226,000 in the quarter ended Dec 31, 2022 to $90.27 million in the quarter ended Jun 30, 2025 over the past five years.
- On a year-over-year basis, Total Debt has declined for three consecutive quarters, with growth averaging 239.3% over the last six quarters.
- Peak year-over-year performance for Total Debt in the last five years was growth of 907.6% in the quarter ended Sep 30, 2024, against a decline of 98.1% in the quarter ended Dec 31, 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $10.06 million (quarter ended Mar 31, 2026), $12.09 million (quarter ended Dec 31, 2025) and $9.99 million (quarter ended Sep 30, 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 467.55 Bn | 436.50 Bn | 1.64 Bn | - |
| 2 | Oracle | 392.67 Bn | 264.80 Bn | - | 125.34 Bn |
| 3 | Sap Se | 265.30 Bn | 193.08 Bn | 8.40 Bn | 9.76 Bn |
| 4 | Salesforce | 198.05 Bn | 153.92 Bn | 8.70 Bn | 39.29 Bn |
| 5 | ServiceNow | 153.10 Bn | 131.56 Bn | 2.82 Bn | 7.52 Bn |
| 6 | Automatic Data Processing | 117.37 Bn | 99.50 Bn | 2.51 Bn | 4.96 Bn |
| 7 | Intuit | 92.79 Bn | 72.13 Bn | 3.44 Bn | 7.67 Bn |
| 8 | Relx | 72.00 Bn | 71.09 Bn | - | 3.11 Bn |
| 9 | Strategy | 51.11 Bn | 44.10 Bn | 81.55 Mn | 6.71 Bn |
| 10 | Grandstand | 48.61 Mn | 8.22 Mn | 31.83 Mn | 122.33 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 122.33 Mn |
| Mar 31, 2026 | 116.50 Mn |
| Dec 31, 2025 | 118.64 Mn |
| Sep 30, 2025 | 83.10 Mn |
| Jun 30, 2025 | 90.27 Mn |
| Mar 31, 2025 | 88.52 Mn |
| Dec 31, 2024 | 22.93 Mn |
| Sep 30, 2024 | 24.45 Mn |
| Jun 30, 2024 | 17.18 Mn |
| Mar 31, 2024 | 280,000.00 |
| Sep 30, 2023 | 290,000.00 |
| Jun 30, 2023 | 282,000.00 |
| Mar 31, 2023 | 257,000.00 |
| Dec 31, 2022 | 226,000.00 |
| Sep 30, 2022 | 5.99 Mn |
| Jun 30, 2022 | 6.27 Mn |
| Mar 31, 2022 | 10.32 Mn |
| Dec 31, 2021 | 5.94 Mn |
| Sep 30, 2021 | 5.92 Mn |
| Jun 30, 2021 | 6.06 Mn |
API Access
Grandstand Total Debt 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=total-debt&ticker=GRSD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-debt", "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=total-debt&ticker=GRSD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();