Upay (UPYY) Return on Sales [ROS] (2020 - 2026)
Upay (UPYY) reported Return on Sales [ROS] of -45.45% for fiscal Q1 2027 (quarter ended May 31, 2026), up 31.19 percentage points from -76.64% a year earlier and up 6.07 percentage points from the prior quarter.
Upay (UPYY) Return on Sales [ROS] (2020 - 2026) Analysis & Trends
Over the twelve months ended May 31, 2026, Upay's Return on Sales [ROS] came in at -53.07%, up 25.77 percentage points year-over-year; for FY2026 (ended Feb 28, 2026), it came in at -60.77%, up 10.37 percentage points from FY2025.
- Return on Sales [ROS] has a five-year change of -45.11 percentage points (FY2021 to FY2026).
- By fiscal year, Return on Sales [ROS] came in at -71.14% in FY2025 (-22.24 pp), -48.90% in FY2024 (-42.34 pp), -6.56% in FY2023 (+15.59 pp) and -22.15% in FY2022 (-6.49 pp).
- The fiscal Q1 2027 figure ranks as the highest quarterly Return on Sales [ROS] since fiscal Q4 2025.
- Year over year, Return on Sales [ROS] gained in four of the last eight quarters, with an average year-over-year change of +3.34 percentage points.
- The high point for year-over-year Return on Sales [ROS] in five years was fiscal Q1 2023 (a gain of 97.31 percentage points); the low point was fiscal Q3 2024 (a drop of 84.21 percentage points).
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at -51.52% (Q4 2026), -61.43% (Q3 2026) and -55.71% (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 453.55 Bn | 422.61 Bn | 1.64 Bn | 47.12% |
| 2 | Oracle | 430.98 Bn | 303.54 Bn | - | 34.78% |
| 3 | Sap Se | 256.23 Bn | 177.31 Bn | 8.40 Bn | 26.76% |
| 4 | Salesforce | 193.08 Bn | 148.96 Bn | 8.70 Bn | 20.55% |
| 5 | ServiceNow | 138.94 Bn | 117.40 Bn | 2.82 Bn | 4.06% |
| 6 | Automatic Data Processing | 102.51 Bn | 84.63 Bn | 2.51 Bn | -33.33% |
| 7 | Intuit | 75.44 Bn | 54.79 Bn | 3.44 Bn | 10.91% |
| 8 | Relx | 60.79 Bn | 57.76 Bn | - | - |
| 9 | Strategy | 56.32 Bn | 49.31 Bn | 81.55 Mn | -6,808.11% |
| 10 | Upay | 15.85 Mn | 15.56 Mn | 166,942.00 | -45.45% |
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | -45.45% |
| Feb 28, 2026 | -51.52% |
| Nov 30, 2025 | -61.43% |
| Aug 31, 2025 | -55.71% |
| May 31, 2025 | -76.64% |
| Feb 28, 2025 | -21.37% |
| Nov 30, 2024 | -100.30% |
| Aug 31, 2024 | -109.60% |
| May 31, 2024 | -55.98% |
| Feb 29, 2024 | -57.06% |
| Nov 30, 2023 | -81.63% |
| Aug 31, 2023 | -46.18% |
| May 31, 2023 | -7.84% |
| Feb 28, 2023 | -11.56% |
| Nov 30, 2022 | 2.58% |
| Aug 31, 2022 | -21.00% |
| May 31, 2022 | 2.36% |
| Feb 28, 2022 | -2.84% |
| Nov 30, 2021 | 1.09% |
| Aug 31, 2021 | -0.19% |
Upay 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=UPYY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "UPYY", "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=UPYY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();