Grandstand (GRSD) Total Liabilities (2020 - 2026)
Grandstand's Total Liabilities came in at $179.78 million for the quarter ended Jun 30, 2026, up 6.2% from $169.28 million a year earlier but down 2.0% from the prior quarter.
Grandstand (GRSD) Total Liabilities (2020 - 2026) Analysis & Trends
As of Dec 31, 2025, Grandstand's Total Liabilities was $191.72 million, up 246.1% from the prior year.
- Total Liabilities carries a five-year compound annual growth rate of 76.6% (years ended Dec 2020 to Dec 2025).
- Going back by year, Total Liabilities was $55.4 million in the year ended Dec 31, 2024 (+54.1%), $35.95 million in the year ended Dec 31, 2023 (-30.6%), $51.77 million in the year ended Dec 31, 2022 (+365.7%) and $11.12 million in the year ended Dec 31, 2021 (-0.5%).
- The five-year range for quarterly Total Liabilities is $11.12 million (the quarter ended Dec 31, 2021) to $191.72 million (the quarter ended Dec 31, 2025).
- Year-over-year, Total Liabilities has increased for nine consecutive quarters, with growth averaging 157.8% over the last eight quarters.
- The fastest year-over-year change in Total Liabilities over five years came in the quarter ended Mar 31, 2025 (growth of 451.6%), and the weakest in the quarter ended Mar 31, 2024 (a decline of 44.3%).
- Business Quant data shows GRSD's Total Liabilities at $183.51 million (quarter ended Mar 31, 2026), $191.72 million (quarter ended Dec 31, 2025) and $171.43 million (quarter ended Sep 30, 2025) in the three quarters before the quarter ended Jun 30, 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 466.79 Bn | 435.74 Bn | 1.64 Bn | 1.79 Bn |
| 2 | Oracle | 393.53 Bn | 265.67 Bn | - | 236.06 Bn |
| 3 | Sap Se | 264.27 Bn | 192.05 Bn | 8.40 Bn | 34.68 Bn |
| 4 | Salesforce | 196.12 Bn | 151.99 Bn | 8.70 Bn | 71.24 Bn |
| 5 | ServiceNow | 152.68 Bn | 131.14 Bn | 2.82 Bn | 19.15 Bn |
| 6 | Automatic Data Processing | 117.59 Bn | 99.72 Bn | 2.51 Bn | 57.16 Bn |
| 7 | Intuit | 92.48 Bn | 71.83 Bn | 3.44 Bn | 17.79 Bn |
| 8 | Relx | 72.07 Bn | 71.17 Bn | - | 18.26 Bn |
| 9 | Strategy | 50.83 Bn | 43.82 Bn | 81.55 Mn | 21.68 Bn |
| 10 | Grandstand | 48.96 Mn | 8.57 Mn | 31.83 Mn | 179.78 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 179.78 Mn |
| Mar 31, 2026 | 183.51 Mn |
| Dec 31, 2025 | 191.72 Mn |
| Sep 30, 2025 | 171.43 Mn |
| Jun 30, 2025 | 169.28 Mn |
| Mar 31, 2025 | 158.47 Mn |
| Dec 31, 2024 | 55.40 Mn |
| Sep 30, 2024 | 63.20 Mn |
| Jun 30, 2024 | 52.22 Mn |
| Mar 31, 2024 | 28.73 Mn |
| Dec 31, 2023 | 35.95 Mn |
| Sep 30, 2023 | 32.70 Mn |
| Jun 30, 2023 | 37.40 Mn |
| Mar 31, 2023 | 51.60 Mn |
| Dec 31, 2022 | 51.77 Mn |
| Sep 30, 2022 | 50.92 Mn |
| Jun 30, 2022 | 46.87 Mn |
| Mar 31, 2022 | 48.05 Mn |
| Dec 31, 2021 | 11.12 Mn |
| Sep 30, 2021 | 11.37 Mn |
Grandstand Total Liabilities 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-liabilities&ticker=GRSD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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-liabilities&ticker=GRSD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();