Jingbo Technology (SVMB) EPS (Diluted) (2022 - 2026)
Jingbo Technology (SVMB) posted EPS (Diluted) of $0.00 for fiscal Q1 2027 (quarter ended May 31, 2026), compared with $0.00 a year earlier.
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Analysis
Jingbo Technology (SVMB) EPS (Diluted) (2022 - 2026) Analysis & Trends
For the trailing twelve months through May 31, 2026, EPS (Diluted) at Jingbo Technology was -$0.01; for FY2026 (ended Feb 28, 2026), it was -$0.01.
- In prior fiscal years, Jingbo Technology's EPS (Diluted) was -$0.04 in FY2025, $0.00 in FY2024, -$0.01 in FY2023 and $0.00 in FY2022.
- Quarterly EPS (Diluted) has run from a low of -$0.75 in fiscal Q2 2025 to a high of $0.08 in fiscal Q4 2022 over five years.
- According to Business Quant data, EPS (Diluted) for the three prior fiscal quarters was -$0.01 (Q4 2026), $0.00 (Q3 2026) and $0.00 (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Diluted) (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 450.50 Bn | 419.56 Bn | 1.64 Bn | 0.41 |
| 2 | Oracle | 401.01 Bn | 273.57 Bn | - | 1.56 |
| 3 | Sap Se | 257.03 Bn | 178.11 Bn | 8.40 Bn | 2.19 |
| 4 | Salesforce | 187.04 Bn | 142.92 Bn | 8.70 Bn | 4.29 |
| 5 | ServiceNow | 135.91 Bn | 114.37 Bn | 2.82 Bn | 0.29 |
| 6 | Automatic Data Processing | 104.14 Bn | 86.27 Bn | 2.51 Bn | 2.43 |
| 7 | Intuit | 72.30 Bn | 51.65 Bn | 3.44 Bn | 1.31 |
| 8 | Relx | 60.17 Bn | 57.14 Bn | - | - |
| 9 | Strategy | 55.31 Bn | 48.30 Bn | 81.55 Mn | -24.45 |
| 10 | Jingbo Technology | 555.32 Mn | 554.58 Mn | 89,520.00 | 0.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 0.00 |
| Feb 28, 2026 | -0.01 |
| Nov 30, 2025 | 0.00 |
| Aug 31, 2025 | 0.00 |
| May 31, 2025 | 0.00 |
| Feb 28, 2025 | 0.00 |
| Nov 30, 2024 | -0.01 |
| Aug 31, 2024 | -0.75 |
| May 31, 2024 | -0.21 |
| Nov 30, 2023 | 0.00 |
| Aug 31, 2023 | 0.00 |
| May 31, 2023 | 0.00 |
| Feb 28, 2023 | 0.00 |
| Nov 30, 2022 | 0.00 |
| Aug 31, 2022 | -0.04 |
| May 31, 2022 | 0.08 |
API Access
Jingbo Technology EPS (Diluted) 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=eps-diluted&ticker=SVMB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-diluted", "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=eps-diluted&ticker=SVMB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();