Grandstand (GRSD) Times Interest Earned (2020 - 2026)
Grandstand's Times Interest Earned was -0.30 in the quarter ended Jun 30, 2026, compared with -6.20 a year earlier.
Grandstand (GRSD) Times Interest Earned (2020 - 2026) Analysis & Trends
On a trailing twelve-month basis, Grandstand's Times Interest Earned was -2.31 through Jun 30, 2026; for the year ended Dec 31, 2025, it was -30.16.
- In earlier years, Times Interest Earned was 22.49 in the year ended Dec 31, 2024 (+117.5%), 10.34 in the year ended Dec 31, 2023 (+259.8%), 2.87 in the year ended Dec 31, 2022 (-54.4%) and 6.30 in the year ended Dec 31, 2021 (+18.8%).
- Quarterly Times Interest Earned has moved between -41.38 (the quarter ended Dec 31, 2025) and 29.97 (the quarter ended Dec 31, 2024) over five years.
- Compared with a year earlier, Times Interest Earned was higher in 1 of the last four quarters, with growth averaging 162.4%.
- The best year-over-year quarter for Times Interest Earned over five years was the quarter ended Dec 31, 2024 (growth of 831.3%); the worst was the quarter ended Sep 30, 2022 (a decline of 94.1%).
- Per Business Quant data, GRSD's Times Interest Earned in the three quarters before the quarter ended Jun 30, 2026 was 0.89 (quarter ended Mar 31, 2026), -41.38 (quarter ended Dec 31, 2025) and -0.57 (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Times Interest Earned (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 468.91 Bn | 437.86 Bn | 1.64 Bn | - |
| 2 | Oracle | 396.97 Bn | 269.10 Bn | - | 4.71 |
| 3 | Sap Se | 264.76 Bn | 192.54 Bn | 8.40 Bn | 8.18 |
| 4 | Salesforce | 197.87 Bn | 153.75 Bn | 8.70 Bn | 4.93 |
| 5 | ServiceNow | 153.49 Bn | 131.94 Bn | 2.82 Bn | - |
| 6 | Automatic Data Processing | 117.19 Bn | 99.31 Bn | 2.51 Bn | -15.08 |
| 7 | Intuit | 92.45 Bn | 71.80 Bn | 3.44 Bn | 6.79 |
| 8 | Relx | 71.83 Bn | 70.92 Bn | - | - |
| 9 | Strategy | 51.54 Bn | 44.53 Bn | 81.55 Mn | - |
| 10 | Grandstand | 49.31 Mn | 8.92 Mn | 31.83 Mn | -0.30 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -0.30 |
| Mar 31, 2026 | 0.89 |
| Dec 31, 2025 | -10.93 |
| Sep 30, 2025 | -0.57 |
| Jun 30, 2025 | -6.20 |
| Mar 31, 2025 | 3.37 |
| Dec 31, 2024 | 10.83 |
| Sep 30, 2024 | 9.13 |
| Jun 30, 2024 | 9.28 |
| Mar 31, 2024 | 17.38 |
| Dec 31, 2023 | 3.17 |
| Sep 30, 2023 | 12.64 |
| Jun 30, 2023 | 1.75 |
| Mar 31, 2023 | 14.49 |
| Dec 31, 2022 | -0.07 |
| Sep 30, 2022 | 0.24 |
| Jun 30, 2022 | -2.13 |
| Mar 31, 2022 | 17.18 |
| Dec 31, 2021 | 1.36 |
| Sep 30, 2021 | 4.06 |
Grandstand Times Interest Earned 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=times-interest-earned&ticker=GRSD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "times-interest-earned", "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=times-interest-earned&ticker=GRSD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();