Jingbo Technology (SVMB) Net Margin (2021 - 2026)
Jingbo Technology's Net Margin came in at -197.62% for fiscal Q1 2027 (quarter ended May 31, 2026), down 132.98 percentage points from -64.64% a year earlier but up 1109.48 percentage points from the prior quarter.
Jingbo Technology (SVMB) Net Margin (2021 - 2026) Analysis & Trends
Over the trailing twelve months to May 31, 2026, Jingbo Technology reported Net Margin of -442.97%, down 239.97 percentage points year-over-year; for FY2026 (ended Feb 28, 2026), it was -374.61%, down 118.27 percentage points from FY2025.
- Net Margin carries a five-year change of +40.16 percentage points (FY2021 to FY2026).
- Going back by fiscal year, Net Margin was -256.35% in FY2025 (+32.97 pp), -289.32% in FY2024, -182.20% in FY2023 (-180.99 pp) and -1.21% in FY2022 (+413.56 pp).
- The five-year range for quarterly Net Margin is -1307.10% (fiscal Q4 2026) to 529.18% (fiscal Q4 2022).
- Year-over-year, Net Margin has declined for three consecutive quarters, with an average year-over-year change of -74.08 percentage points over the last five quarters.
- The fastest year-over-year change in Net Margin over five years came in fiscal Q2 2026 (a gain of 885.54 percentage points), and the weakest in fiscal Q4 2026 (a drop of 1345.74 percentage points).
- Business Quant data shows SVMB's Net Margin at -1307.10% (Q4 2026), -161.10% (Q3 2026) and -115.68% (Q2 2026) in the three fiscal quarters before Q1 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 450.50 Bn | 419.56 Bn | 1.64 Bn | 54.86% |
| 2 | Oracle | 401.01 Bn | 273.57 Bn | - | 24.19% |
| 3 | Sap Se | 257.03 Bn | 178.11 Bn | 8.40 Bn | 22.36% |
| 4 | Salesforce | 187.04 Bn | 142.92 Bn | 8.70 Bn | 31.08% |
| 5 | ServiceNow | 135.91 Bn | 114.37 Bn | 2.82 Bn | 7.47% |
| 6 | Automatic Data Processing | 104.14 Bn | 86.27 Bn | 2.51 Bn | 17.88% |
| 7 | Intuit | 72.30 Bn | 51.65 Bn | 3.44 Bn | 8.34% |
| 8 | Relx | 60.17 Bn | 57.14 Bn | - | - |
| 9 | Strategy | 55.31 Bn | 48.30 Bn | 81.55 Mn | -7,044.56% |
| 10 | Jingbo Technology | 555.32 Mn | 554.58 Mn | 89,520.00 | -197.62% |
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | -197.62% |
| Feb 28, 2026 | -1,307.10% |
| Nov 30, 2025 | -161.10% |
| Aug 31, 2025 | -115.68% |
| May 31, 2025 | -64.64% |
| Feb 28, 2025 | 38.64% |
| Nov 30, 2024 | -82.25% |
| Aug 31, 2024 | -1,001.21% |
| May 31, 2024 | -366.29% |
| Nov 30, 2023 | -442.59% |
| Aug 31, 2023 | -444.71% |
| May 31, 2023 | -396.10% |
| Feb 28, 2023 | -41.27% |
| Nov 30, 2022 | -3.57% |
| Aug 31, 2022 | -283.43% |
| May 31, 2022 | 529.18% |
| Feb 28, 2022 | -178.84% |
| Feb 28, 2021 | -82.92% |
Jingbo Technology Net 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=net-margin&ticker=SVMB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-margin", "ticker": "SVMB", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=net-margin&ticker=SVMB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();