Camden National (CAC) Enterprise Value (2010 - 2026)
Camden National (CAC) reported Enterprise Value of $916.16 million for Q2 2026, up 33.4% from $686.62 million a year earlier and up 14.1% from the prior quarter.
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Analysis
Camden National (CAC) Enterprise Value (2010 - 2026) Analysis & Trends
For FY2025, Camden National posted Enterprise Value of $734.18 million, up 17.8% from FY2024.
- Enterprise Value has a five-year compound annual growth rate of 6.6% (FY2020 to FY2025).
- By year, Enterprise Value came in at $623.12 million in FY2024 (+13.7%), $548.12 million in FY2023 (-9.7%), $607.31 million in FY2022 (-14.4%) and $709.88 million in FY2021 (+33.1%).
- The Q2 2026 figure ranks as the highest quarterly Enterprise Value in data going back to Q2 2010.
- Year over year, Enterprise Value has now increased in each of the last nine quarters, with growth averaging 27.5% over the last eight quarters.
- The high point for year-over-year Enterprise Value in five years was Q3 2021 (growth of 57.7%); the low point was Q3 2023 (a decline of 33.8%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $802.6 million (Q1 2026), $734.18 million (Q4 2025) and $653.03 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Jpmorgan Chase | 895.36 Bn | 924.83 Bn | - |
| 2 | Banco Santander Chile | 425.01 Bn | 544.95 Bn | - |
| 3 | Bank Of America | 389.22 Bn | -1,986.85 Bn | - |
| 4 | Hsbc Holdings | 347.56 Bn | 347.61 Bn | - |
| 5 | Morgan Stanley | 304.44 Bn | -204.66 Bn | - |
| 6 | Royal Bank Of Canada | 281.54 Bn | 132.29 Bn | - |
| 7 | Mitsubishi Ufj Financial | 277.23 Bn | -1,311.26 Bn | 10.89 Bn |
| 8 | Goldman Sachs | 267.12 Bn | -3,289.99 Bn | - |
| 9 | Wells Fargo & Company | 244.76 Bn | 246.90 Bn | - |
| 10 | Camden National | 969.89 Mn | 969.89 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 916.16 Mn |
| Mar 31, 2026 | 802.60 Mn |
| Dec 31, 2025 | 734.18 Mn |
| Sep 30, 2025 | 653.03 Mn |
| Jun 30, 2025 | 686.62 Mn |
| Mar 31, 2025 | 684.03 Mn |
| Dec 31, 2024 | 623.12 Mn |
| Sep 30, 2024 | 602.33 Mn |
| Jun 30, 2024 | 480.96 Mn |
| Mar 31, 2024 | 489.62 Mn |
| Dec 31, 2023 | 548.12 Mn |
| Sep 30, 2023 | 410.83 Mn |
| Jun 30, 2023 | 450.77 Mn |
| Mar 31, 2023 | 528.11 Mn |
| Dec 31, 2022 | 607.31 Mn |
| Sep 30, 2022 | 620.49 Mn |
| Jun 30, 2022 | 644.24 Mn |
| Mar 31, 2022 | 693.67 Mn |
| Dec 31, 2021 | 709.88 Mn |
| Sep 30, 2021 | 711.28 Mn |
API Access
Camden National Enterprise Value 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=enterprise-value&ticker=CAC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=CAC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();