Grandstand (GRSD) Payables (2020 - 2026)
Grandstand's Payables came in at $14.64 million for the quarter ended Jun 30, 2026, compared with $597,000 a year earlier and down 29.5% from the prior quarter.
Grandstand (GRSD) Payables (2020 - 2026) Analysis & Trends
As of Dec 31, 2025, Grandstand's Payables was $13.48 million, up 32.1% from the prior year.
- Payables carries a five-year compound annual growth rate of 40.6% (years ended Dec 2020 to Dec 2025).
- Going back by year, Payables was $10.21 million in the year ended Dec 31, 2024 (-5.4%), $10.79 million in the year ended Dec 31, 2023 (+70.2%), $6.34 million in the year ended Dec 31, 2022 (-31.3%) and $9.24 million in the year ended Dec 31, 2021 (+276.8%).
- The five-year range for quarterly Payables is $597,000 (the quarter ended Jun 30, 2025) to $20.77 million (the quarter ended Mar 31, 2026).
- Year-over-year, Payables increased in five of the last seven quarters, with growth averaging 22.5%.
- The fastest year-over-year change in Payables over five years came in the quarter ended Dec 31, 2021 (growth of 276.8%), and the weakest in the quarter ended Jun 30, 2025 (a decline of 91.6%).
- Business Quant data shows GRSD's Payables at $20.77 million (quarter ended Mar 31, 2026), $13.48 million (quarter ended Dec 31, 2025) and $10.94 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) | Payables (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 467.55 Bn | 436.50 Bn | 1.64 Bn | 504.07 Mn |
| 2 | Oracle | 392.67 Bn | 264.80 Bn | - | 18.69 Bn |
| 3 | Sap Se | 265.30 Bn | 193.08 Bn | 8.40 Bn | 3.14 Bn |
| 4 | Salesforce | 198.05 Bn | 153.92 Bn | 8.70 Bn | 7.02 Bn |
| 5 | ServiceNow | 153.10 Bn | 131.56 Bn | 2.82 Bn | 2.24 Bn |
| 6 | Automatic Data Processing | 117.37 Bn | 99.50 Bn | 2.51 Bn | 834.40 Mn |
| 7 | Intuit | 92.79 Bn | 72.13 Bn | 3.44 Bn | 873.00 Mn |
| 8 | Relx | 72.00 Bn | 71.09 Bn | - | 5.31 Bn |
| 9 | Strategy | 51.11 Bn | 44.10 Bn | 81.55 Mn | 190.50 Mn |
| 10 | Grandstand | 48.61 Mn | 8.22 Mn | 31.83 Mn | 14.64 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 14.64 Mn |
| Mar 31, 2026 | 10.72 Mn |
| Dec 31, 2025 | 13.48 Mn |
| Sep 30, 2025 | 947,000.00 |
| Jun 30, 2025 | 9.85 Mn |
| Mar 31, 2025 | 7.64 Mn |
| Dec 31, 2024 | 10.21 Mn |
| Sep 30, 2024 | 7.98 Mn |
| Jun 30, 2024 | 6.96 Mn |
| Mar 31, 2024 | 7.43 Mn |
| Dec 31, 2023 | 10.79 Mn |
| Sep 30, 2023 | 6.66 Mn |
| Jun 30, 2023 | 6.90 Mn |
| Mar 31, 2023 | 5.94 Mn |
| Dec 31, 2022 | 6.34 Mn |
| Sep 30, 2022 | 7.34 Mn |
| Jun 30, 2022 | 11.45 Mn |
| Mar 31, 2022 | 12.59 Mn |
| Dec 31, 2021 | 9.24 Mn |
| Sep 30, 2021 | 3.00 Mn |
Grandstand Payables 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=payables&ticker=GRSD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "payables", "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=payables&ticker=GRSD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();