Eastern Bankshares (EBC) Shares Outstanding (2020 - 2026)
Eastern Bankshares (EBC) recorded Shares Outstanding of 230.36 million in Q2 2026, up 9.1% from 211.12 million a year earlier but down 1.7% from the prior quarter.
Eastern Bankshares (EBC) Shares Outstanding (2020 - 2026) Analysis & Trends
For FY2025, Eastern Bankshares reported Shares Outstanding of 215.7 million, up 19.1% from FY2024.
- Annual Shares Outstanding has a five-year compound annual growth rate of 4.7% (FY2020 to FY2025).
- Across earlier years, Shares Outstanding came in at 181.13 million in FY2024 (+11.6%), 162.29 million in FY2023 (-1.9%), 165.51 million in FY2022 (-3.9%) and 172.19 million in FY2021 (+0.2%).
- Quarterly Shares Outstanding has ranged from 162.29 million in Q4 2023 to 234.36 million in Q1 2026 over the past five years.
- On a year-over-year basis, Shares Outstanding has increased for ten consecutive quarters, with growth averaging 13.8% over the last eight quarters.
- Peak year-over-year performance for Shares Outstanding in the last five years was growth of 20.8% in Q1 2025, against a decline of 4.9% in Q3 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at 234.36 million (Q1 2026), 215.7 million (Q4 2025) and 211.19 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 890.60 Bn | 920.07 Bn | - | 2.69 Bn |
| 2 | Banco Santander Chile | 421.74 Bn | 541.68 Bn | - | 26.92 Bn |
| 3 | Bank Of America | 385.85 Bn | -1,990.22 Bn | - | 7.15 Bn |
| 4 | Hsbc Holdings | 345.94 Bn | 345.99 Bn | - | 3.49 Bn |
| 5 | Morgan Stanley | 303.15 Bn | -205.95 Bn | - | 1.55 Bn |
| 6 | Royal Bank Of Canada | 279.82 Bn | 130.57 Bn | - | 1.41 Bn |
| 7 | Mitsubishi Ufj Financial | 274.62 Bn | -1,313.87 Bn | 10.89 Bn | 11.40 Bn |
| 8 | Goldman Sachs | 267.07 Bn | -3,290.04 Bn | - | 300.10 Mn |
| 9 | Wells Fargo & Company | 243.79 Bn | 245.93 Bn | - | 3.04 Bn |
| 10 | Eastern Bankshares | 4.80 Bn | 4.55 Bn | - | 230.36 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 230.36 Mn |
| Mar 31, 2026 | 234.36 Mn |
| Dec 31, 2025 | 215.70 Mn |
| Sep 30, 2025 | 211.19 Mn |
| Jun 30, 2025 | 211.12 Mn |
| Mar 31, 2025 | 212.74 Mn |
| Dec 31, 2024 | 181.13 Mn |
| Sep 30, 2024 | 209.67 Mn |
| Jun 30, 2024 | 176.24 Mn |
| Mar 31, 2024 | 176.08 Mn |
| Dec 31, 2023 | 162.29 Mn |
| Sep 30, 2023 | 175.83 Mn |
| Jun 30, 2023 | 175.82 Mn |
| Mar 31, 2023 | 175.70 Mn |
| Dec 31, 2022 | 165.51 Mn |
| Sep 30, 2022 | 177.68 Mn |
| Jun 30, 2022 | 180.62 Mn |
| Mar 31, 2022 | 184.07 Mn |
| Dec 31, 2021 | 172.19 Mn |
| Sep 30, 2021 | 186.76 Mn |
Eastern Bankshares 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=EBC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "ticker": "EBC", "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=EBC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();