Jingbo Technology (SVMB) Income Taxes Paid (2023 - 2026)
Jingbo Technology (SVMB) recorded Income Taxes Paid of $8,029 in fiscal Q4 2026 (quarter ended Feb 28, 2026), compared with -$17.00 a year earlier.
Analysis
Jingbo Technology (SVMB) Income Taxes Paid (2023 - 2026) Analysis & Trends
For FY2026 (ended Feb 28, 2026), Jingbo Technology reported Income Taxes Paid of $12,090.
- Annual Income Taxes Paid has a three-year compound annual growth rate of 560.3% (FY2023 to FY2026).
- Across earlier fiscal years, Income Taxes Paid came in at $793.00 in FY2025 (+328.6%), $185.00 in FY2024 (+340.5%) and $42.00 in FY2023.
- The fiscal Q4 2026 figure is the highest quarterly Income Taxes Paid in data going back to fiscal Q4 2023.
- Per Business Quant, the preceding three fiscal quarters came in at $495.00 (Q3 2026), $19.00 (Q2 2026) and $3,547 (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes Paid (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 472.77 Bn | 441.83 Bn | 1.64 Bn | - |
| 2 | Oracle | 381.27 Bn | 253.82 Bn | - | - |
| 3 | Sap Se | 292.64 Bn | 221.00 Bn | 8.40 Bn | -971.73 Mn |
| 4 | Salesforce | 204.54 Bn | 160.41 Bn | 8.70 Bn | 222.00 Mn |
| 5 | ServiceNow | 164.40 Bn | 142.85 Bn | 2.82 Bn | 92.00 Mn |
| 6 | Automatic Data Processing | 120.99 Bn | 103.12 Bn | 2.51 Bn | 544.60 Mn |
| 7 | Intuit | 92.16 Bn | 71.51 Bn | 3.44 Bn | - |
| 8 | Relx | 73.71 Bn | 72.82 Bn | - | - |
| 9 | Thomson Reuters | 54.81 Bn | 51.59 Bn | - | -35.00 Mn |
| 10 | Jingbo Technology | 1.38 Bn | 1.38 Bn | 69,532.00 | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Feb 28, 2026 | 8,029.00 |
| Nov 30, 2025 | 495.00 |
| Aug 31, 2025 | 19.00 |
| May 31, 2025 | 3,547.00 |
| Feb 28, 2025 | -17.00 |
| Nov 30, 2024 | 796.00 |
| May 31, 2024 | 14.00 |
| May 31, 2023 | 185.00 |
API Access
Jingbo Technology Income Taxes Paid 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=income-taxes-paid&ticker=SVMB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "income-taxes-paid", "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=income-taxes-paid&ticker=SVMB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();