Enterprise Financial Services (EFSC) Shares Outstanding (2010 - 2026)
Enterprise Financial Services (EFSC) posted Shares Outstanding of 36.44 million for Q2 2026, down 1.4% from 36.96 million a year earlier and down 1.3% from the prior quarter.
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Analysis
Enterprise Financial Services (EFSC) Shares Outstanding (2010 - 2026) Analysis & Trends
For FY2025, Enterprise Financial Services' Shares Outstanding came in at 36.99 million, down 1.0% from FY2024.
- Annual Shares Outstanding shows a five-year compound annual growth rate of 6.5% (FY2020 to FY2025).
- In prior years, Enterprise Financial Services' Shares Outstanding was 37.36 million in FY2024 (unchanged), 37.37 million in FY2023 (unchanged), 37.38 million in FY2022 (+8.6%) and 34.44 million in FY2021 (+27.8%).
- The Q2 2026 figure stands as the lowest quarterly Shares Outstanding since Q4 2021.
- On a year-over-year basis, Shares Outstanding has declined in each of the last six quarters, with an average decline of 0.8% over the last eight quarters.
- The strongest year-over-year quarter for Shares Outstanding in the past five years was Q3 2021, with growth of 40.7%; the weakest was Q2 2026, with a decline of 1.4%.
- According to Business Quant data, Shares Outstanding for the three prior quarters was 36.91 million (Q1 2026), 36.99 million (Q4 2025) and 37.02 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | 2.69 Bn |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | 26.92 Bn |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 7.15 Bn |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | 3.49 Bn |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | 1.55 Bn |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | 1.41 Bn |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | 11.40 Bn |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | 300.10 Mn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | 3.04 Bn |
| 10 | Enterprise Financial Services | 2.14 Bn | 2.14 Bn | - | 36.44 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 36.44 Mn |
| Mar 31, 2026 | 36.91 Mn |
| Dec 31, 2025 | 36.99 Mn |
| Sep 30, 2025 | 37.02 Mn |
| Jun 30, 2025 | 36.96 Mn |
| Mar 31, 2025 | 36.97 Mn |
| Dec 31, 2024 | 37.36 Mn |
| Sep 30, 2024 | 37.34 Mn |
| Jun 30, 2024 | 37.49 Mn |
| Mar 31, 2024 | 37.49 Mn |
| Dec 31, 2023 | 37.37 Mn |
| Sep 30, 2023 | 37.41 Mn |
| Jun 30, 2023 | 37.35 Mn |
| Mar 31, 2023 | 37.31 Mn |
| Dec 31, 2022 | 37.38 Mn |
| Sep 30, 2022 | 37.24 Mn |
| Jun 30, 2022 | 37.24 Mn |
| Mar 31, 2022 | 37.79 Mn |
| Dec 31, 2021 | 34.44 Mn |
| Sep 30, 2021 | 36.90 Mn |
API Access
Enterprise Financial Services 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=EFSC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "ticker": "EFSC", "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=EFSC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();