Jingbo Technology (SVMB) Cost of Revenue (2021 - 2026)
Jingbo Technology (SVMB) reported Cost of Revenue of $192,442 for fiscal Q1 2027 (quarter ended May 31, 2026), down 42.4% from $333,977 a year earlier and down 72.1% from the prior quarter.
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Analysis
Jingbo Technology (SVMB) Cost of Revenue (2021 - 2026) Analysis & Trends
Over the twelve months ended May 31, 2026, Jingbo Technology's Cost of Revenue came in at $1.5 million, down 36.4% year-over-year; for FY2026 (ended Feb 28, 2026), it was $1.64 million, down 35.3% from FY2025.
- Cost of Revenue has a five-year compound annual growth rate of 252.9% (FY2021 to FY2026).
- By fiscal year, Cost of Revenue came in at $2.54 million in FY2025 (+19.6%), $2.12 million in FY2024, $4.13 million in FY2023 (-9.6%) and $4.57 million in FY2022.
- The fiscal Q1 2027 figure ranks as the lowest quarterly Cost of Revenue since fiscal Q3 2021.
- Year over year, Cost of Revenue gained in 1 of the last five quarters, with an average decline of 30.8%.
- The high point for year-over-year Cost of Revenue in five years was fiscal Q2 2024 (growth of 123.1%); the low point was fiscal Q3 2026 (a decline of 64.3%).
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at $690,319 (Q4 2026), $300,734 (Q3 2026) and $316,836 (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 453.55 Bn | 422.61 Bn | 1.64 Bn | 296.87 Mn |
| 2 | Oracle | 430.98 Bn | 303.54 Bn | - | - |
| 3 | Sap Se | 256.23 Bn | 177.31 Bn | 8.40 Bn | 3.08 Bn |
| 4 | Salesforce | 193.08 Bn | 148.96 Bn | 8.70 Bn | 2.65 Bn |
| 5 | ServiceNow | 138.94 Bn | 117.40 Bn | 2.82 Bn | 1.17 Bn |
| 6 | Automatic Data Processing | 102.51 Bn | 84.63 Bn | 2.51 Bn | 2.96 Bn |
| 7 | Intuit | 75.44 Bn | 54.79 Bn | 3.44 Bn | 910.00 Mn |
| 8 | Relx | 60.79 Bn | 57.76 Bn | - | - |
| 9 | Strategy | 56.32 Bn | 49.31 Bn | 81.55 Mn | 40.82 Mn |
| 10 | Jingbo Technology | 555.32 Mn | 554.58 Mn | 89,520.00 | 192,442.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 192,442.00 |
| Feb 28, 2026 | 690,319.00 |
| Nov 30, 2025 | 300,734.00 |
| Aug 31, 2025 | 316,836.00 |
| May 31, 2025 | 333,977.00 |
| Feb 28, 2025 | 486,541.00 |
| Nov 30, 2024 | 841,439.00 |
| Aug 31, 2024 | 697,567.00 |
| May 31, 2024 | 512,305.00 |
| Nov 30, 2023 | 549,449.00 |
| Aug 31, 2023 | 607,427.00 |
| May 31, 2023 | 824,298.00 |
| Feb 28, 2023 | 920,203.00 |
| Nov 30, 2022 | 887,865.00 |
| Aug 31, 2022 | 1.20 Mn |
| May 31, 2022 | 1.04 Mn |
| Feb 28, 2022 | 1.26 Mn |
| Feb 28, 2021 | 3,000.00 |
API Access
Jingbo Technology Cost of Revenue 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=cost-of-revenue&ticker=SVMB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=SVMB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();