Jingbo Technology (SVMB) Depreciation & Amortization (CF) (2022 - 2026)
Jingbo Technology's Depreciation & Amortization (CF) was $128,725 in fiscal Q1 2027 (quarter ended May 31, 2026), up 0.7% from $127,830 a year earlier and up 10.8% from the prior quarter.
Jingbo Technology (SVMB) Depreciation & Amortization (CF) (2022 - 2026) Analysis & Trends
On a trailing twelve-month basis, Jingbo Technology's Depreciation & Amortization (CF) was $479,262 through May 31, 2026, down 39.8% year-over-year; for FY2026 (ended Feb 28, 2026), it came in at $478,367, down 44.5% from FY2025.
- Depreciation & Amortization (CF) shows a four-year compound annual growth rate of -24.8% (FY2022 to FY2026).
- In earlier fiscal years, Depreciation & Amortization (CF) was $862,051 in FY2025 (+5.8%), $814,569 in FY2024, $932,799 in FY2023 (-37.5%) and $1.49 million in FY2022.
- The fiscal Q1 2027 figure marks the highest quarterly Depreciation & Amortization (CF) since fiscal Q4 2025.
- Compared with a year earlier, Depreciation & Amortization (CF) was higher in 1 of the last five quarters, with an average decline of 32.8%.
- The best year-over-year quarter for Depreciation & Amortization (CF) over five years was fiscal Q2 2024 (growth of 120.4%); the worst was fiscal Q4 2026 (a decline of 61.3%).
- Per Business Quant data, SVMB's Depreciation & Amortization (CF) in the three fiscal quarters before Q1 2027 was $116,180 (Q4 2026), $110,486 (Q3 2026) and $123,871 (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Amort. (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 456.65 Bn | 425.71 Bn | 1.64 Bn | 8.22 Mn |
| 2 | Oracle | 417.55 Bn | 290.11 Bn | - | 3.20 Bn |
| 3 | Sap Se | 259.04 Bn | 180.13 Bn | 8.40 Bn | 367.31 Mn |
| 4 | Salesforce | 194.78 Bn | 150.65 Bn | 8.70 Bn | 966.00 Mn |
| 5 | ServiceNow | 142.47 Bn | 120.93 Bn | 2.82 Bn | 407.00 Mn |
| 6 | Automatic Data Processing | 105.00 Bn | 87.13 Bn | 2.51 Bn | 147.20 Mn |
| 7 | Intuit | 75.89 Bn | 55.24 Bn | 3.44 Bn | 54.00 Mn |
| 8 | Relx | 60.92 Bn | 57.89 Bn | - | - |
| 9 | Strategy | 56.49 Bn | 49.48 Bn | 81.55 Mn | 12.36 Mn |
| 10 | Jingbo Technology | 555.32 Mn | 554.58 Mn | 89,520.00 | 128,725.00 |
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 128,725.00 |
| Feb 28, 2026 | 116,180.00 |
| Nov 30, 2025 | 110,486.00 |
| Aug 31, 2025 | 123,871.00 |
| May 31, 2025 | 127,830.00 |
| Feb 28, 2025 | 300,074.00 |
| Nov 30, 2024 | 209,305.00 |
| Aug 31, 2024 | 158,485.00 |
| May 31, 2024 | 194,187.00 |
| Nov 30, 2023 | 190,560.00 |
| Aug 31, 2023 | 200,156.00 |
| May 31, 2023 | 227,077.00 |
| Nov 30, 2022 | 276,393.00 |
| Aug 31, 2022 | 327,944.00 |
| May 31, 2022 | 351,052.00 |
Jingbo Technology Depreciation & Amortization (CF) 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=depreciation-and-amortization-cf&ticker=SVMB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-amortization-cf", "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=depreciation-and-amortization-cf&ticker=SVMB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();