Grandstand (GRSD) Receivables - Net (2020 - 2026)
Grandstand's Receivables - Net came in at $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 - Net (2020 - 2026) Analysis & Trends
As of Dec 31, 2025, Grandstand's Receivables - Net was $26.49 million, up 25.2% from the prior year.
- Receivables - Net carries a five-year compound annual growth rate of 36.9% (years ended Dec 2020 to Dec 2025).
- Going back by year, Receivables - Net 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%).
- The five-year range for quarterly Receivables - Net is $5.5 million (the quarter ended Dec 31, 2021) to $28.4 million (the quarter ended Mar 31, 2026).
- Year-over-year, Receivables - Net has increased for six consecutive quarters, with growth averaging 13.4% over the last eight quarters.
- The fastest year-over-year change in Receivables - Net over five years came in the quarter ended Dec 31, 2022 (growth of 122.3%), and the weakest in the quarter ended Dec 31, 2024 (a decline of 3.5%).
- Business Quant data shows GRSD's Receivables - Net at $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) in the three quarters before the quarter ended Jun 30, 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palantir Technologies | 462.03 Bn | 430.98 Bn | 1.64 Bn |
| 2 | Oracle | 387.48 Bn | 259.61 Bn | - |
| 3 | Sap Se | 266.80 Bn | 194.59 Bn | 8.40 Bn |
| 4 | Salesforce | 199.03 Bn | 154.91 Bn | 8.70 Bn |
| 5 | ServiceNow | 154.48 Bn | 132.94 Bn | 2.82 Bn |
| 6 | Automatic Data Processing | 117.71 Bn | 99.83 Bn | 2.51 Bn |
| 7 | Intuit | 92.43 Bn | 71.78 Bn | 3.44 Bn |
| 8 | Relx | 72.15 Bn | 71.24 Bn | - |
| 9 | Thomson Reuters | 50.59 Bn | 47.38 Bn | - |
| 10 | Grandstand | 48.07 Mn | 7.68 Mn | 31.83 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 - Net 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-net&ticker=GRSD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables-net", "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-net&ticker=GRSD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();