Jingbo Technology (SVMB) Long-Term Debt Repayments (2017 - 2025)
Jingbo Technology (SVMB) recorded Long-Term Debt Repayments of $1.68 million in FY2026 (year ended Feb 28, 2026), up 120.4% from $763,417 in FY2025.
Jingbo Technology (SVMB) Long-Term Debt Repayments (2017 - 2025) Analysis & Trends
Starting with FY2017, Jingbo Technology's Long-Term Debt Repayments history includes 6 fiscal years.
- Annual Long-Term Debt Repayments has a four-year compound annual growth rate of 5.2% (FY2022 to FY2026).
- Annual Long-Term Debt Repayments has ranged from $16,552 in FY2023 to $3.8 million in FY2024 over the past five years.
- Per Business Quant data, SVMB's Long-Term Debt Repayments was $763,417 in FY2025 (-79.9%), $3.8 million in FY2024, $16,552 in FY2023 (-98.8%) and $1.37 million in FY2022.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 471.42 Bn | 440.48 Bn | 1.64 Bn | - |
| 2 | Oracle | 379.54 Bn | 252.10 Bn | - | 4.20 Bn |
| 3 | Sap Se | 295.84 Bn | 224.19 Bn | 8.40 Bn | -1.86 Bn |
| 4 | Salesforce | 205.95 Bn | 161.82 Bn | 8.70 Bn | 176.00 Mn |
| 5 | ServiceNow | 162.33 Bn | 140.79 Bn | 2.82 Bn | - |
| 6 | Automatic Data Processing | 122.50 Bn | 104.63 Bn | 2.51 Bn | 300,000.00 |
| 7 | Intuit | 95.25 Bn | 74.60 Bn | 3.44 Bn | - |
| 8 | Relx | 73.89 Bn | 73.01 Bn | - | - |
| 9 | Thomson Reuters | 54.85 Bn | 51.63 Bn | - | 500.00 Mn |
| 10 | Jingbo Technology | 1.19 Bn | 1.19 Bn | 69,532.00 | - |
Historic Data
| Date | Value |
|---|---|
| Feb 28, 2025 | 499,490.00 |
| Nov 30, 2024 | 6,348.00 |
| Nov 30, 2023 | 14,305.00 |
| Aug 31, 2023 | 14,305.00 |
| May 31, 2017 | 1,255.00 |
Jingbo Technology Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=SVMB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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=long-term-debt-repayments&ticker=SVMB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();