Upay (UPYY) Operating Margin (2020 - 2026)
Upay's Operating Margin came in at -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) Operating Margin (2020 - 2026) Analysis & Trends
Over the trailing twelve months to May 31, 2026, Upay reported Operating Margin of -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.
- Operating Margin carries a five-year change of -45.11 percentage points (FY2021 to FY2026).
- Going back by fiscal year, Operating Margin was -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 represents the highest quarterly Operating Margin since fiscal Q4 2025.
- Year-over-year, Operating Margin increased in four of the last eight quarters, with an average year-over-year change of +3.34 percentage points.
- The fastest year-over-year change in Operating Margin over five years came in fiscal Q1 2023 (a gain of 97.31 percentage points), and the weakest in fiscal Q3 2024 (a drop of 84.21 percentage points).
- Business Quant data shows UPYY's Operating Margin at -51.52% (Q4 2026), -61.43% (Q3 2026) and -55.71% (Q2 2026) in the three fiscal quarters before Q1 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Operating Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 450.50 Bn | 419.56 Bn | 1.64 Bn | 47.12% |
| 2 | Oracle | 401.01 Bn | 273.57 Bn | - | 34.78% |
| 3 | Sap Se | 257.03 Bn | 178.11 Bn | 8.40 Bn | 26.76% |
| 4 | Salesforce | 187.04 Bn | 142.92 Bn | 8.70 Bn | 20.55% |
| 5 | ServiceNow | 135.91 Bn | 114.37 Bn | 2.82 Bn | 4.06% |
| 6 | Automatic Data Processing | 104.14 Bn | 86.27 Bn | 2.51 Bn | -33.33% |
| 7 | Intuit | 72.30 Bn | 51.65 Bn | 3.44 Bn | 10.91% |
| 8 | Relx | 60.17 Bn | 57.14 Bn | - | - |
| 9 | Strategy | 55.31 Bn | 48.30 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 Operating Margin 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=operating-margin&ticker=UPYY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-margin", "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=operating-margin&ticker=UPYY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();