Grandstand (GRSD) Return on Sales [ROS] (2020 - 2026)
Grandstand (GRSD) recorded Return on Sales [ROS] of -3.10% in the quarter ended Jun 30, 2026, up 33.19 percentage points from -36.29% a year earlier but down 11.18 percentage points from the prior quarter.
Grandstand (GRSD) Return on Sales [ROS] (2020 - 2026) Analysis & Trends
On a TTM basis, Grandstand's Return on Sales [ROS] came in at -15.22% as of Jun 30, 2026, down 25.47 percentage points year-over-year; for the year ended Dec 31, 2025, it came in at -19.21%, down 47.26 percentage points from the prior year.
- Annual Return on Sales [ROS] has a five-year change of -59.00 percentage points (years ended Dec 2020 to Dec 2025).
- Across earlier years, Return on Sales [ROS] came in at 28.05% in the year ended Dec 31, 2024 (+8.01 pp), 20.04% in the year ended Dec 31, 2023 (+17.59 pp), 2.45% in the year ended Dec 31, 2022 (-24.46 pp) and 26.92% in the year ended Dec 31, 2021 (-12.87 pp).
- Quarterly Return on Sales [ROS] has ranged from -55.22% in the quarter ended Dec 31, 2025 to 30.56% in the quarter ended Mar 31, 2023 over the past five years.
- On a year-over-year basis, Return on Sales [ROS] rose in three of the last eight quarters, with an average year-over-year change of -19.18 percentage points.
- Peak year-over-year performance for Return on Sales [ROS] in the last five years was a gain of 33.19 percentage points in the quarter ended Jun 30, 2026, against a drop of 83.14 percentage points in the quarter ended Dec 31, 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at 8.08% (quarter ended Mar 31, 2026), -55.22% (quarter ended Dec 31, 2025) and -3.70% (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 456.65 Bn | 425.71 Bn | 1.64 Bn | 47.12% |
| 2 | Oracle | 417.55 Bn | 290.11 Bn | - | 34.78% |
| 3 | Sap Se | 259.04 Bn | 180.13 Bn | 8.40 Bn | 26.76% |
| 4 | Salesforce | 194.78 Bn | 150.65 Bn | 8.70 Bn | 20.55% |
| 5 | ServiceNow | 142.47 Bn | 120.93 Bn | 2.82 Bn | 4.06% |
| 6 | Automatic Data Processing | 105.00 Bn | 87.13 Bn | 2.51 Bn | -33.33% |
| 7 | Intuit | 75.89 Bn | 55.24 Bn | 3.44 Bn | 10.91% |
| 8 | Relx | 60.92 Bn | 57.89 Bn | - | - |
| 9 | Strategy | 56.49 Bn | 49.48 Bn | 81.55 Mn | -6,808.11% |
| 10 | Grandstand | 51.59 Mn | 11.20 Mn | 31.83 Mn | -3.10% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -3.10% |
| Mar 31, 2026 | 8.08% |
| Dec 31, 2025 | -55.22% |
| Sep 30, 2025 | -3.70% |
| Jun 30, 2025 | -36.29% |
| Mar 31, 2025 | 24.68% |
| Dec 31, 2024 | 27.92% |
| Sep 30, 2024 | 29.90% |
| Jun 30, 2024 | 27.24% |
| Mar 31, 2024 | 27.01% |
| Dec 31, 2023 | 25.12% |
| Sep 30, 2023 | 20.10% |
| Jun 30, 2023 | 2.83% |
| Mar 31, 2023 | 30.56% |
| Dec 31, 2022 | -1.43% |
| Sep 30, 2022 | 0.79% |
| Jun 30, 2022 | -14.12% |
| Mar 31, 2022 | 21.84% |
| Dec 31, 2021 | 6.05% |
| Sep 30, 2021 | 23.72% |
Grandstand Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=GRSD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=GRSD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();