Hyperscale Data (GPUS) Return on Sales [ROS] (2010 - 2026)
Hyperscale Data (GPUS) recorded Return on Sales [ROS] of -66.34% in Q2 2026, down 27.17 percentage points from -39.17% a year earlier and down 18.08 percentage points from the prior quarter.
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Analysis
Hyperscale Data (GPUS) Return on Sales [ROS] (2010 - 2026) Analysis & Trends
On a TTM basis, Hyperscale Data's Return on Sales [ROS] came in at -69.26% as of Jun 30, 2026, down 19.73 percentage points year-over-year; for FY2025, it came in at -60.98%, down 7.56 percentage points from FY2024.
- Annual Return on Sales [ROS] has a five-year change of -35.71 percentage points (FY2020 to FY2025).
- Across earlier years, Return on Sales [ROS] came in at -53.42% in FY2024 (+57.30 pp), -110.72% in FY2023 (+7.85 pp), -118.57% in FY2022 (-83.53 pp) and -35.04% in FY2021 (-9.77 pp).
- Quarterly Return on Sales [ROS] has ranged from -365.29% in Q4 2022 to 9.53% in Q1 2024 over the past five years.
- On a year-over-year basis, Return on Sales [ROS] has declined for three consecutive quarters, with an average year-over-year change of +8.65 percentage points over the last eight quarters.
- Peak year-over-year performance for Return on Sales [ROS] in the last five years was a gain of 194.93 percentage points in Q4 2023, against a drop of 210.34 percentage points in Q2 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at -48.26% (Q1 2026), -117.81% (Q4 2025) and -57.78% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | PayPal Holdings | 49.15 Bn | 7.38 Bn | - | 16.44% |
| 2 | Block | 45.94 Bn | 17.20 Bn | 3.17 Bn | 6.75% |
| 3 | Coinbase Global | 43.38 Bn | 184.17 Mn | - | -9.30% |
| 4 | Corpay | 26.82 Bn | 17.02 Bn | - | 35.28% |
| 5 | Fiserv | 26.51 Bn | 23.21 Bn | 2.90 Bn | 19.18% |
| 6 | Global Payments | 22.01 Bn | 453.00 Mn | 2.03 Bn | 10.15% |
| 7 | Iren | 18.95 Bn | 6.55 Bn | 103.89 Mn | -452.09% |
| 8 | Guidewire Software | 15.50 Bn | 12.06 Bn | 269.68 Mn | 15.16% |
| 9 | Bitmine Immersion Technologies | 12.97 Bn | 10.35 Bn | 40.81 Mn | -25.50% |
| 10 | Hyperscale Data | 80.79 Mn | -111.20 Mn | 8.80 Mn | -66.34% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -66.34% |
| Mar 31, 2026 | -48.26% |
| Dec 31, 2025 | -117.81% |
| Sep 30, 2025 | -57.78% |
| Jun 30, 2025 | -39.17% |
| Mar 31, 2025 | -25.51% |
| Dec 31, 2024 | -46.83% |
| Sep 30, 2024 | -79.18% |
| Jun 30, 2024 | -151.36% |
| Mar 31, 2024 | 9.53% |
| Dec 31, 2023 | -170.37% |
| Sep 30, 2023 | -47.23% |
| Jun 30, 2023 | -106.53% |
| Mar 31, 2023 | -103.18% |
| Dec 31, 2022 | -365.29% |
| Sep 30, 2022 | -15.83% |
| Jun 30, 2022 | -136.58% |
| Mar 31, 2022 | 3.14% |
| Dec 31, 2021 | -198.35% |
| Sep 30, 2021 | -161.96% |
API Access
Hyperscale Data 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=GPUS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "GPUS", "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=GPUS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();