Jingbo Technology (SVMB) Shares Outstanding (2015 - 2026)
Jingbo Technology (SVMB) recorded Shares Outstanding of 555.32 million in fiscal Q1 2027 (quarter ended May 31, 2026), unchanged from 555.32 million a year earlier and unchanged from the prior quarter.
Jingbo Technology (SVMB) Shares Outstanding (2015 - 2026) Analysis & Trends
Starting with fiscal Q1 2016, Jingbo Technology's Shares Outstanding history includes 32 quarters.
- Annual Shares Outstanding has a five-year compound annual growth rate of 55.1% (FY2021 to FY2026).
- Across earlier fiscal years, Shares Outstanding came in at 128.88 million in FY2025 (-87.1%), 1 billion in FY2024, 467.38 million in FY2023 (+655.1%) and 61.9 million in FY2022 (unchanged).
- Quarterly Shares Outstanding has ranged from 5.32 million in fiscal Q1 2025 to 1.06 billion in fiscal Q2 2024 over the past five years.
- On a year-over-year basis, Shares Outstanding rose in two of the last four quarters, with growth averaging 201.4%.
- Peak year-over-year performance for Shares Outstanding in the last five years was growth of 655.1% in fiscal Q4 2023, against a decline of 87.1% in fiscal Q4 2025 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at 555.32 million (Q4 2026), 555.32 million (Q3 2026) and 555.32 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 449.46 Bn | 418.52 Bn | 1.64 Bn | 2.40 Bn |
| 2 | Oracle | 415.29 Bn | 287.84 Bn | - | 2.97 Bn |
| 3 | Sap Se | 256.30 Bn | 177.39 Bn | 8.40 Bn | 1.17 Bn |
| 4 | Salesforce | 188.94 Bn | 144.82 Bn | 8.70 Bn | 820.00 Mn |
| 5 | ServiceNow | 138.57 Bn | 117.03 Bn | 2.82 Bn | 1.03 Bn |
| 6 | Automatic Data Processing | 102.66 Bn | 84.78 Bn | 2.51 Bn | 402.30 Mn |
| 7 | Intuit | 74.00 Bn | 53.35 Bn | 3.44 Bn | 276.00 Mn |
| 8 | Relx | 60.34 Bn | 57.31 Bn | - | 1.83 Bn |
| 9 | Strategy | 53.88 Bn | 46.87 Bn | 81.55 Mn | 352.53 Mn |
| 10 | Jingbo Technology | 555.32 Mn | 554.58 Mn | 89,520.00 | 555.32 Mn |
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 555.32 Mn |
| Feb 28, 2026 | 555.32 Mn |
| Nov 30, 2025 | 555.32 Mn |
| Aug 31, 2025 | 555.32 Mn |
| May 31, 2025 | 555.32 Mn |
| Feb 28, 2025 | 128.88 Mn |
| Nov 30, 2024 | 83.89 Mn |
| Aug 31, 2024 | 5.32 Mn |
| May 31, 2024 | 5.32 Mn |
| Feb 29, 2024 | 1.00 Bn |
| Nov 30, 2023 | 1.06 Bn |
| Aug 31, 2023 | 1.06 Bn |
| May 31, 2023 | 467.38 Mn |
| Feb 28, 2023 | 209.85 Mn |
| Nov 30, 2022 | 61.90 Mn |
| Aug 31, 2022 | 61.90 Mn |
| May 31, 2022 | 61.90 Mn |
| Feb 28, 2022 | 61.90 Mn |
| Nov 30, 2021 | 61.90 Mn |
| Aug 31, 2021 | 61.90 Mn |
Jingbo Technology Shares Outstanding 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=shares-outstanding&ticker=SVMB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "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=shares-outstanding&ticker=SVMB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();