Jingbo Technology (SVMB) Return on Sales [ROS] (2021 - 2026)
Jingbo Technology (SVMB) recorded Return on Sales [ROS] of -211.97% in fiscal Q1 2027 (quarter ended May 31, 2026), down 128.05 percentage points from -83.92% a year earlier but up 1171.37 percentage points from the prior quarter.
Jingbo Technology (SVMB) Return on Sales [ROS] (2021 - 2026) Analysis & Trends
On a TTM basis, Jingbo Technology's Return on Sales [ROS] came in at -497.35% as of May 31, 2026, down 292.59 percentage points year-over-year; for FY2026 (ended Feb 28, 2026), it was -425.80%, down 169.65 percentage points from FY2025.
- Annual Return on Sales [ROS] has a five-year change of -11.03 percentage points (FY2021 to FY2026).
- Across earlier fiscal years, Return on Sales [ROS] came in at -256.15% in FY2025 (+66.43 pp), -322.59% in FY2024, -179.71% in FY2023 (+15.25 pp) and -194.96% in FY2022 (+219.81 pp).
- Quarterly Return on Sales [ROS] has ranged from -1383.34% in fiscal Q4 2026 to -83.92% in fiscal Q1 2026 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 -160.40 percentage points over the last five quarters.
- Peak year-over-year performance for Return on Sales [ROS] in the last five years was a gain of 296.80 percentage points in fiscal Q1 2026, against a drop of 1096.27 percentage points in fiscal Q4 2026 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at -1383.34% (Q4 2026), -191.92% (Q3 2026) and -202.14% (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 | Jingbo Technology | 555.32 Mn | 554.58 Mn | 89,520.00 | -211.97% |
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | -211.97% |
| Feb 28, 2026 | -1,383.34% |
| Nov 30, 2025 | -191.92% |
| Aug 31, 2025 | -202.14% |
| May 31, 2025 | -83.92% |
| Feb 28, 2025 | -287.07% |
| Nov 30, 2024 | -97.66% |
| Aug 31, 2024 | -421.92% |
| May 31, 2024 | -380.72% |
| Nov 30, 2023 | -435.12% |
| Aug 31, 2023 | -339.39% |
| May 31, 2023 | -395.34% |
| Feb 28, 2023 | -41.55% |
| Nov 30, 2022 | -185.67% |
| Aug 31, 2022 | -275.45% |
| May 31, 2022 | -177.22% |
| Feb 28, 2022 | -178.34% |
| Feb 28, 2021 | -82.92% |
Jingbo Technology 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=SVMB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=SVMB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();