Camden National (CAC) EBITDA (2012 - 2026)
Camden National (CAC) reported EBITDA of $58.23 million for Q2 2026, up 14.9% from $50.66 million a year earlier and up 2.7% from the prior quarter.
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Analysis
Camden National (CAC) EBITDA (2012 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Camden National's EBITDA came in at $232.77 million, up 26.7% year-over-year; for FY2025, it was $207.16 million, up 11.1% from FY2024.
- EBITDA has increased for five consecutive years, with a five-year compound annual growth rate of 15.7% (FY2020 to FY2025).
- By year, EBITDA came in at $186.43 million in FY2024 (+22.8%), $151.78 million in FY2023 (+42.8%), $106.26 million in FY2022 (+4.1%) and $102.05 million in FY2021 (+2.3%).
- Five-year quarterly EBITDA spans a low of $22.39 million in Q3 2021 and a high of $59.01 million in Q4 2025.
- Year over year, EBITDA has now increased in each of the last five quarters, with growth averaging 19.0% over the last eight quarters.
- The high point for year-over-year EBITDA in five years was Q2 2023 (growth of 71.2%); the low point was Q1 2025 (a decline of 16.2%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $56.71 million (Q1 2026), $59.01 million (Q4 2025) and $58.82 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 895.36 Bn | 924.83 Bn | - | 54.95 Bn |
| 2 | Banco Santander Chile | 425.01 Bn | 544.95 Bn | - | -1,174.27 Bn |
| 3 | Bank Of America | 389.22 Bn | -1,986.85 Bn | - | 30.01 Bn |
| 4 | Hsbc Holdings | 347.56 Bn | 347.61 Bn | - | - |
| 5 | Morgan Stanley | 304.44 Bn | -204.66 Bn | - | 21.67 Bn |
| 6 | Royal Bank Of Canada | 281.54 Bn | 132.29 Bn | - | 18.88 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 | - | 27.17 Bn |
| 9 | Wells Fargo & Company | 244.76 Bn | 246.90 Bn | - | 20.89 Bn |
| 10 | Camden National | 969.89 Mn | 969.89 Mn | - | 58.23 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 58.23 Mn |
| Mar 31, 2026 | 56.71 Mn |
| Dec 31, 2025 | 59.01 Mn |
| Sep 30, 2025 | 58.82 Mn |
| Jun 30, 2025 | 50.66 Mn |
| Mar 31, 2025 | 38.70 Mn |
| Dec 31, 2024 | 47.48 Mn |
| Sep 30, 2024 | 46.95 Mn |
| Jun 30, 2024 | 45.81 Mn |
| Mar 31, 2024 | 46.20 Mn |
| Dec 31, 2023 | 38.42 Mn |
| Sep 30, 2023 | 38.08 Mn |
| Jun 30, 2023 | 39.89 Mn |
| Mar 31, 2023 | 35.39 Mn |
| Dec 31, 2022 | 32.65 Mn |
| Sep 30, 2022 | 25.70 Mn |
| Jun 30, 2022 | 23.30 Mn |
| Mar 31, 2022 | 24.60 Mn |
| Dec 31, 2021 | 24.45 Mn |
| Sep 30, 2021 | 22.39 Mn |
API Access
Camden National EBITDA 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=ebitda&ticker=CAC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=CAC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();