Jingbo Technology (SVMB) EBITDA Margin (2022 - 2026)
Jingbo Technology's EBITDA Margin was -166.32% in fiscal Q1 2027 (quarter ended May 31, 2026), down 110.09 percentage points from -56.23% a year earlier but up 1183.00 percentage points from the prior quarter.
Jingbo Technology (SVMB) EBITDA Margin (2022 - 2026) Analysis & Trends
On a trailing twelve-month basis, Jingbo Technology's EBITDA Margin was -462.19% through May 31, 2026, down 292.11 percentage points year-over-year; for FY2026 (ended Feb 28, 2026), it was -394.80%, down 178.90 percentage points from FY2025.
- EBITDA Margin shows a four-year change of -241.73 percentage points (FY2022 to FY2026).
- In earlier fiscal years, EBITDA Margin was -215.90% in FY2025 (+55.25 pp), -271.15% in FY2024, -154.66% in FY2023 (-1.59 pp) and -153.07% in FY2022.
- Quarterly EBITDA Margin has moved between -1349.32% (fiscal Q4 2026) and -56.23% (fiscal Q1 2026) over five years.
- Compared with a year earlier, EBITDA Margin has declined for three straight quarters, with an average year-over-year change of -166.93 percentage points over the last five quarters.
- The best year-over-year quarter for EBITDA Margin over five years was fiscal Q1 2026 (a gain of 261.55 percentage points); the worst was fiscal Q4 2026 (a drop of 1108.22 percentage points).
- Per Business Quant data, SVMB's EBITDA Margin in the three fiscal quarters before Q1 2027 was -1349.32% (Q4 2026), -161.07% (Q3 2026) and -169.69% (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 450.50 Bn | 419.56 Bn | 1.64 Bn | 47.55% |
| 2 | Oracle | 401.01 Bn | 273.57 Bn | - | 52.36% |
| 3 | Sap Se | 257.03 Bn | 178.11 Bn | 8.40 Bn | 29.96% |
| 4 | Salesforce | 187.04 Bn | 142.92 Bn | 8.70 Bn | 34.25% |
| 5 | ServiceNow | 135.91 Bn | 114.37 Bn | 2.82 Bn | 18.59% |
| 6 | Automatic Data Processing | 104.14 Bn | 86.27 Bn | 2.51 Bn | -25.13% |
| 7 | Intuit | 72.30 Bn | 51.65 Bn | 3.44 Bn | 15.92% |
| 8 | Relx | 60.17 Bn | 57.14 Bn | - | - |
| 9 | Strategy | 55.31 Bn | 48.30 Bn | 81.55 Mn | -6,798.02% |
| 10 | Jingbo Technology | 555.32 Mn | 554.58 Mn | 89,520.00 | -166.32% |
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | -166.32% |
| Feb 28, 2026 | -1,349.32% |
| Nov 30, 2025 | -161.07% |
| Aug 31, 2025 | -169.69% |
| May 31, 2025 | -56.23% |
| Feb 28, 2025 | -241.10% |
| Nov 30, 2024 | -70.97% |
| Aug 31, 2024 | -381.92% |
| May 31, 2024 | -317.79% |
| Nov 30, 2023 | -372.76% |
| Aug 31, 2023 | -281.29% |
| May 31, 2023 | -345.99% |
| Nov 30, 2022 | -145.70% |
| Aug 31, 2022 | -234.27% |
| May 31, 2022 | -141.38% |
Jingbo Technology EBITDA 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=ebitda-margin&ticker=SVMB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda-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=ebitda-margin&ticker=SVMB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();