Jingbo Technology (SVMB) Debt Ratio (2022 - 2026)
Jingbo Technology's (SVMB) Debt Ratio came in at 3.40 for fiscal Q1 2027 (quarter ended May 31, 2026), compared with 0.11 a year earlier and up 2.8% from the prior quarter.
Jingbo Technology (SVMB) Debt Ratio (2022 - 2026) Analysis & Trends
For FY2026 (ended Feb 28, 2026), Jingbo Technology's Debt Ratio stood at 3.31, up 76.7% from FY2025.
- In prior fiscal years, Jingbo Technology's Debt Ratio was 1.87 in FY2025, 0.16 in FY2024, 0.00 in FY2023 (+37.5%) and 0.00 in FY2022.
- The fiscal Q1 2027 figure stands as the highest quarterly Debt Ratio in data going back to fiscal Q4 2022.
- According to Business Quant data, Debt Ratio for the three prior fiscal quarters was 3.31 (Q4 2026), 1.81 (Q3 2026) and 0.11 (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Debt Ratio (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 449.27 Bn | 418.33 Bn | 1.64 Bn | - |
| 2 | Oracle | 417.01 Bn | 289.56 Bn | - | 0.41 |
| 3 | Sap Se | 258.97 Bn | 180.05 Bn | 8.40 Bn | 0.18 |
| 4 | Salesforce | 185.51 Bn | 141.38 Bn | 8.70 Bn | 0.36 |
| 5 | ServiceNow | 134.41 Bn | 112.87 Bn | 2.82 Bn | 0.07 |
| 6 | Automatic Data Processing | 104.14 Bn | 86.27 Bn | 2.51 Bn | 0.08 |
| 7 | Intuit | 71.93 Bn | 51.28 Bn | 3.44 Bn | 0.21 |
| 8 | Relx | 60.47 Bn | 57.43 Bn | - | 0.16 |
| 9 | Strategy | 54.44 Bn | 47.43 Bn | 81.55 Mn | 0.13 |
| 10 | Jingbo Technology | 555.32 Mn | 554.58 Mn | 89,520.00 | 3.40 |
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 3.40 |
| Feb 28, 2026 | 3.31 |
| Nov 30, 2025 | 1.81 |
| Aug 31, 2025 | 0.11 |
| May 31, 2025 | 0.11 |
| Feb 28, 2025 | 1.87 |
| Nov 30, 2024 | 0.12 |
| Aug 31, 2024 | 0.13 |
| May 31, 2024 | 0.16 |
| Feb 29, 2024 | 0.16 |
| Nov 30, 2023 | 0.11 |
| Aug 31, 2023 | 0.00 |
| May 31, 2023 | 0.00 |
| Feb 28, 2023 | 0.13 |
| May 31, 2022 | 0.00 |
Jingbo Technology Debt Ratio 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=debt-ratio&ticker=SVMB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "debt-ratio", "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=debt-ratio&ticker=SVMB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();