Jingbo Technology (SVMB) Total Liabilities (2016 - 2026)
Jingbo Technology (SVMB) recorded Total Liabilities of $40.02 million in fiscal Q1 2027 (quarter ended May 31, 2026), up 11.1% from $36.03 million a year earlier and up 2.5% from the prior quarter.
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Analysis
Jingbo Technology (SVMB) Total Liabilities (2016 - 2026) Analysis & Trends
At the end of FY2026 (ended Feb 28, 2026), Jingbo Technology reported Total Liabilities of $39.06 million, up 10.9% from FY2025.
- Annual Total Liabilities has a five-year compound annual growth rate of 15.0% (FY2021 to FY2026).
- Across earlier fiscal years, Total Liabilities came in at $35.23 million in FY2025 (+11.6%), $31.57 million in FY2024, $28.26 million in FY2023 (-23.2%) and $36.79 million in FY2022 (+89.7%).
- The fiscal Q1 2027 figure is the highest quarterly Total Liabilities in data going back to fiscal Q3 2016.
- On a year-over-year basis, Total Liabilities has increased for six consecutive quarters, with growth averaging 9.6% over the last six quarters.
- Peak year-over-year performance for Total Liabilities in the last five years was growth of 752.1% in fiscal Q2 2022, against a decline of 23.2% in fiscal Q4 2023 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $39.06 million (Q4 2026), $37.91 million (Q3 2026) and $37.11 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 450.50 Bn | 419.56 Bn | 1.64 Bn | 1.79 Bn |
| 2 | Oracle | 401.01 Bn | 273.57 Bn | - | 236.06 Bn |
| 3 | Sap Se | 257.03 Bn | 178.11 Bn | 8.40 Bn | 35.29 Bn |
| 4 | Salesforce | 187.04 Bn | 142.92 Bn | 8.70 Bn | 71.24 Bn |
| 5 | ServiceNow | 135.91 Bn | 114.37 Bn | 2.82 Bn | 19.15 Bn |
| 6 | Automatic Data Processing | 104.14 Bn | 86.27 Bn | 2.51 Bn | 57.16 Bn |
| 7 | Intuit | 72.30 Bn | 51.65 Bn | 3.44 Bn | 17.79 Bn |
| 8 | Relx | 60.17 Bn | 57.14 Bn | - | 18.48 Bn |
| 9 | Strategy | 55.31 Bn | 48.30 Bn | 81.55 Mn | 21.68 Bn |
| 10 | Jingbo Technology | 555.32 Mn | 554.58 Mn | 89,520.00 | 40.02 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 40.02 Mn |
| Feb 28, 2026 | 39.06 Mn |
| Nov 30, 2025 | 37.91 Mn |
| Aug 31, 2025 | 37.11 Mn |
| May 31, 2025 | 36.03 Mn |
| Feb 28, 2025 | 35.23 Mn |
| Nov 30, 2024 | 35.80 Mn |
| Aug 31, 2024 | 34.69 Mn |
| May 31, 2024 | 32.41 Mn |
| Feb 29, 2024 | 31.57 Mn |
| Nov 30, 2023 | 30.64 Mn |
| Aug 31, 2023 | 29.02 Mn |
| May 31, 2023 | 28.26 Mn |
| Feb 28, 2023 | 37.04 Mn |
| Aug 31, 2022 | 20.03 Mn |
| May 31, 2022 | 36.79 Mn |
| Feb 28, 2022 | 50,806.00 |
| Nov 30, 2021 | 67,821.00 |
| Aug 31, 2021 | 62,026.00 |
| May 31, 2021 | 19.39 Mn |
API Access
Jingbo Technology Total Liabilities 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=total-liabilities&ticker=SVMB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=SVMB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();