Ameris Bancorp (ABCB) Shares Outstanding (2010 - 2026)
Ameris Bancorp's Shares Outstanding was 66.88 million in Q2 2026, down 2.5% from 68.59 million a year earlier and down 1.0% from the prior quarter.
Analysis
Ameris Bancorp (ABCB) Shares Outstanding (2010 - 2026) Analysis & Trends
For FY2025, Shares Outstanding at Ameris Bancorp came in at 68.45 million, down 0.5% from FY2024.
- Shares Outstanding has now declined for four consecutive years, with a five-year compound annual growth rate of -0.2% (FY2020 to FY2025).
- In earlier years, Shares Outstanding was 68.81 million in FY2024 (-0.2%), 68.98 million in FY2023 (-0.3%), 69.19 million in FY2022 (-0.3%) and 69.43 million in FY2021 (+0.3%).
- The Q2 2026 figure marks the lowest quarterly Shares Outstanding since Q4 2019.
- Compared with a year earlier, Shares Outstanding has declined for five straight quarters, with an average decline of 0.8% over the last eight quarters.
- The best year-over-year quarter for Shares Outstanding over five years was Q3 2021 (growth of 0.3%); the worst was Q2 2026 (a decline of 2.5%).
- Per Business Quant data, ABCB's Shares Outstanding in the three quarters before Q2 2026 was 67.54 million (Q1 2026), 68.45 million (Q4 2025) and 68.4 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 | Ameris Bancorp | 5.34 Bn | 5.34 Bn | - | 66.88 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 66.88 Mn |
| Mar 31, 2026 | 67.54 Mn |
| Dec 31, 2025 | 68.45 Mn |
| Sep 30, 2025 | 68.40 Mn |
| Jun 30, 2025 | 68.59 Mn |
| Mar 31, 2025 | 68.79 Mn |
| Dec 31, 2024 | 68.81 Mn |
| Sep 30, 2024 | 68.80 Mn |
| Jun 30, 2024 | 68.82 Mn |
| Mar 31, 2024 | 68.81 Mn |
| Dec 31, 2023 | 68.98 Mn |
| Sep 30, 2023 | 68.88 Mn |
| Jun 30, 2023 | 68.99 Mn |
| Mar 31, 2023 | 69.17 Mn |
| Dec 31, 2022 | 69.19 Mn |
| Sep 30, 2022 | 69.13 Mn |
| Jun 30, 2022 | 69.14 Mn |
| Mar 31, 2022 | 69.35 Mn |
| Dec 31, 2021 | 69.43 Mn |
| Sep 30, 2021 | 69.44 Mn |
API Access
Ameris Bancorp 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=ABCB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "ticker": "ABCB", "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=ABCB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();