Camden National (CAC) Shares Outstanding (Diluted) (2010 - 2026)
Camden National's Shares Outstanding (Diluted) was 17 million in Q2 2026, up 0.2% from 16.97 million a year earlier but down 0.1% from the prior quarter.
Camden National (CAC) Shares Outstanding (Diluted) (2010 - 2026) Analysis & Trends
For FY2025, Shares Outstanding (Diluted) at Camden National came in at 16.98 million, up 16.0% from FY2024.
- Shares Outstanding (Diluted) shows a five-year compound annual growth rate of 2.5% (FY2020 to FY2025).
- In earlier years, Shares Outstanding (Diluted) was 14.63 million in FY2024 (+0.2%), 14.61 million in FY2023 (-0.6%), 14.7 million in FY2022 (-1.8%) and 14.97 million in FY2021 (-0.3%).
- Quarterly Shares Outstanding (Diluted) has moved between 14.6 million (Q3 2023) and 17.02 million (Q1 2026) over five years.
- Compared with a year earlier, Shares Outstanding (Diluted) has increased for nine straight quarters, with growth averaging 8.1% over the last eight quarters.
- The best year-over-year quarter for Shares Outstanding (Diluted) over five years was Q3 2025 (growth of 16.1%); the worst was Q3 2022 (a decline of 2.2%).
- Per Business Quant data, CAC's Shares Outstanding (Diluted) in the three quarters before Q2 2026 was 17.02 million (Q1 2026), 16.98 million (Q4 2025) and 17.01 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (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 | - | 7.29 Bn |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | 3.51 Bn |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | 1.57 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 | - | 304.90 Mn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | 3.07 Bn |
| 10 | Camden National | 935.25 Mn | 935.25 Mn | - | 17.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 17.00 Mn |
| Mar 31, 2026 | 17.02 Mn |
| Dec 31, 2025 | 16.98 Mn |
| Sep 30, 2025 | 17.01 Mn |
| Jun 30, 2025 | 16.97 Mn |
| Mar 31, 2025 | 16.93 Mn |
| Dec 31, 2024 | 14.63 Mn |
| Sep 30, 2024 | 14.65 Mn |
| Jun 30, 2024 | 14.65 Mn |
| Mar 31, 2024 | 14.63 Mn |
| Dec 31, 2023 | 14.61 Mn |
| Sep 30, 2023 | 14.60 Mn |
| Jun 30, 2023 | 14.60 Mn |
| Mar 31, 2023 | 14.63 Mn |
| Dec 31, 2022 | 14.70 Mn |
| Sep 30, 2022 | 14.68 Mn |
| Jun 30, 2022 | 14.70 Mn |
| Mar 31, 2022 | 14.82 Mn |
| Dec 31, 2021 | 14.97 Mn |
| Sep 30, 2021 | 15.00 Mn |
Camden National Shares Outstanding (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=shares-outstanding-diluted&ticker=CAC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "CAC", "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-diluted&ticker=CAC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();