Grandstand (GRSD) Receivables (2020 - 2026)
Grandstand (GRSD) posted Receivables of $23.02 million for the quarter ended Jun 30, 2026, up 2.3% from $22.5 million a year earlier but down 18.9% from the prior quarter.
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Analysis
Grandstand (GRSD) Receivables (2020 - 2026) Analysis & Trends
As of Dec 31, 2025, Grandstand's Receivables came in at $26.49 million, up 25.2% from the prior year.
- Annual Receivables shows a five-year compound annual growth rate of 36.9% (years ended Dec 2020 to Dec 2025).
- In prior years, Grandstand's Receivables was $21.16 million in the year ended Dec 31, 2024 (-3.5%), $21.94 million in the year ended Dec 31, 2023 (+79.5%), $12.22 million in the year ended Dec 31, 2022 (+122.3%) and $5.5 million in the year ended Dec 31, 2021 (-0.2%).
- Quarterly Receivables has run from a low of $5.5 million in the quarter ended Dec 31, 2021 to a high of $28.4 million in the quarter ended Mar 31, 2026 over five years.
- On a year-over-year basis, Receivables has increased in each of the last six quarters, with growth averaging 13.4% over the last eight quarters.
- The strongest year-over-year quarter for Receivables in the past five years was the quarter ended Dec 31, 2022, with growth of 122.3%; the weakest was the quarter ended Dec 31, 2024, with a decline of 3.5%.
- According to Business Quant data, Receivables for the three prior quarters was $28.4 million (quarter ended Mar 31, 2026), $26.49 million (quarter ended Dec 31, 2025) and $23.9 million (quarter ended Sep 30, 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 468.22 Bn | 437.17 Bn | 1.64 Bn | 1.50 Bn |
| 2 | Oracle | 392.97 Bn | 265.10 Bn | - | 11.39 Bn |
| 3 | Sap Se | 265.43 Bn | 193.21 Bn | 8.40 Bn | - |
| 4 | Salesforce | 198.20 Bn | 154.07 Bn | 8.70 Bn | 6.32 Bn |
| 5 | ServiceNow | 153.33 Bn | 131.79 Bn | 2.82 Bn | 2.80 Bn |
| 6 | Automatic Data Processing | 117.25 Bn | 99.38 Bn | 2.51 Bn | 3.52 Bn |
| 7 | Intuit | 92.76 Bn | 72.11 Bn | 3.44 Bn | 625.00 Mn |
| 8 | Relx | 72.03 Bn | 71.12 Bn | - | 3.10 Bn |
| 9 | Strategy | 50.92 Bn | 43.91 Bn | 81.55 Mn | 137.09 Mn |
| 10 | Grandstand | 48.25 Mn | 7.86 Mn | 31.83 Mn | 23.02 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 23.02 Mn |
| Mar 31, 2026 | 28.40 Mn |
| Dec 31, 2025 | 26.49 Mn |
| Sep 30, 2025 | 23.90 Mn |
| Jun 30, 2025 | 22.50 Mn |
| Mar 31, 2025 | 23.97 Mn |
| Dec 31, 2024 | 21.16 Mn |
| Sep 30, 2024 | 20.45 Mn |
| Jun 30, 2024 | 20.81 Mn |
| Mar 31, 2024 | 19.45 Mn |
| Dec 31, 2023 | 21.94 Mn |
| Sep 30, 2023 | 17.60 Mn |
| Jun 30, 2023 | 13.25 Mn |
| Mar 31, 2023 | 15.63 Mn |
| Dec 31, 2022 | 12.22 Mn |
| Sep 30, 2022 | 11.30 Mn |
| Jun 30, 2022 | 8.96 Mn |
| Mar 31, 2022 | 11.98 Mn |
| Dec 31, 2021 | 5.50 Mn |
| Sep 30, 2021 | 5.99 Mn |
API Access
Grandstand Receivables 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=receivables&ticker=GRSD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=GRSD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();