Camden National (CAC) Weighted Average Shares Outstanding (2010 - 2026)
Camden National (CAC) recorded Weighted Average Shares Outstanding of 16.91 million in Q3 2026, down 0.1% from 16.92 million a year earlier and unchanged from the prior quarter.
Powered by 
Analysis
Camden National (CAC) Weighted Average Shares Outstanding (2010 - 2026) Analysis & Trends
For FY2025, Camden National reported Weighted Average Shares Outstanding of 16.9 million, up 15.9% from FY2024.
- Annual Weighted Average Shares Outstanding has a five-year compound annual growth rate of 2.4% (FY2020 to FY2025).
- Across earlier years, Weighted Average Shares Outstanding came in at 14.58 million in FY2024 (+0.1%), 14.56 million in FY2023 (-0.6%), 14.64 million in FY2022 (-1.7%) and 14.9 million in FY2021 (-0.5%).
- Quarterly Weighted Average Shares Outstanding has ranged from 14.56 million in Q3 2023 to 16.92 million in Q1 2026 over the past five years.
- On a year-over-year basis, Weighted Average Shares Outstanding rose in six of the last eight quarters, with growth averaging 8.0%.
- Peak year-over-year performance for Weighted Average Shares Outstanding in the last five years was growth of 16.1% in Q3 2025, against a decline of 2.1% in Q3 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at 16.91 million (Q2 2026), 16.92 million (Q1 2026) and 16.9 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Jpmorgan Chase | 896.53 Bn | 896.53 Bn | - |
| 2 | Bank Of America | 354.20 Bn | -2,021.91 Bn | - |
| 3 | Hsbc Holdings | 303.54 Bn | -1,800.05 Bn | - |
| 4 | Royal Bank Of Canada | 283.29 Bn | -546.75 Bn | - |
| 5 | Morgan Stanley | 281.19 Bn | -262.84 Bn | - |
| 6 | Goldman Sachs | 256.26 Bn | -3,487.19 Bn | - |
| 7 | Wells Fargo & Company | 253.33 Bn | 253.33 Bn | - |
| 8 | Mitsubishi Ufj Financial | 238.77 Bn | -102.62 Bn | 10.89 Bn |
| 9 | American Express | 216.03 Bn | 15.51 Bn | - |
| 10 | Camden National | 981.05 Mn | 981.05 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 16.90 Mn |
| Jun 30, 2026 | 16.91 Mn |
| Mar 31, 2026 | 16.92 Mn |
| Dec 31, 2025 | 16.90 Mn |
| Sep 30, 2025 | 16.92 Mn |
| Jun 30, 2025 | 16.91 Mn |
| Mar 31, 2025 | 16.84 Mn |
| Dec 31, 2024 | 14.58 Mn |
| Sep 30, 2024 | 14.58 Mn |
| Jun 30, 2024 | 14.59 Mn |
| Mar 31, 2024 | 14.57 Mn |
| Dec 31, 2023 | 14.56 Mn |
| Sep 30, 2023 | 14.56 Mn |
| Jun 30, 2023 | 14.56 Mn |
| Mar 31, 2023 | 14.57 Mn |
| Dec 31, 2022 | 14.64 Mn |
| Sep 30, 2022 | 14.62 Mn |
| Jun 30, 2022 | 14.65 Mn |
| Mar 31, 2022 | 14.74 Mn |
| Dec 31, 2021 | 14.90 Mn |
API Access
Camden National Weighted Average 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=weighted-average-shares-outstanding&ticker=CAC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "weighted-average-shares-outstanding", "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=weighted-average-shares-outstanding&ticker=CAC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();