Camden National (CAC) EBIT (2010 - 2026)
Camden National's EBIT was $55.39 million in Q2 2026, up 15.7% from $47.87 million a year earlier and up 2.4% from the prior quarter.
Camden National (CAC) EBIT (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Camden National's EBIT was $221.95 million through Jun 30, 2026, up 26.1% year-over-year; for FY2025, it was $196.05 million, up 7.4% from FY2024.
- EBIT has now increased for five consecutive years, with a five-year compound annual growth rate of 15.5% (FY2020 to FY2025).
- In earlier years, EBIT was $182.56 million in FY2024 (+23.5%), $147.82 million in FY2023 (+44.7%), $102.14 million in FY2022 (+4.6%) and $97.69 million in FY2021 (+2.5%).
- Quarterly EBIT has moved between $21.28 million (Q3 2021) and $56.35 million (Q4 2025) over five years.
- Compared with a year earlier, EBIT has increased for five straight quarters, with growth averaging 18.1% over the last eight quarters.
- The best year-over-year quarter for EBIT over five years was Q2 2023 (growth of 74.8%); the worst was Q1 2025 (a decline of 21.1%).
- Per Business Quant data, CAC's EBIT in the three quarters before Q2 2026 was $54.09 million (Q1 2026), $56.35 million (Q4 2025) and $56.12 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBIT (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 895.36 Bn | 924.83 Bn | - | 52.63 Bn |
| 2 | Banco Santander Chile | 425.01 Bn | 544.95 Bn | - | -1,140.26 Bn |
| 3 | Bank Of America | 389.22 Bn | -1,986.85 Bn | - | 29.40 Bn |
| 4 | Hsbc Holdings | 347.56 Bn | 347.61 Bn | - | - |
| 5 | Morgan Stanley | 304.44 Bn | -204.66 Bn | - | 20.47 Bn |
| 6 | Royal Bank Of Canada | 281.54 Bn | 132.29 Bn | - | 18.35 Bn |
| 7 | Mitsubishi Ufj Financial | 277.23 Bn | -1,311.26 Bn | 10.89 Bn | 5.11 Bn |
| 8 | Goldman Sachs | 267.12 Bn | -3,289.99 Bn | - | 26.66 Bn |
| 9 | Wells Fargo & Company | 244.76 Bn | 246.90 Bn | - | 19.01 Bn |
| 10 | Camden National | 969.89 Mn | 969.89 Mn | - | 55.39 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 55.39 Mn |
| Mar 31, 2026 | 54.09 Mn |
| Dec 31, 2025 | 56.35 Mn |
| Sep 30, 2025 | 56.12 Mn |
| Jun 30, 2025 | 47.87 Mn |
| Mar 31, 2025 | 35.71 Mn |
| Dec 31, 2024 | 46.48 Mn |
| Sep 30, 2024 | 45.99 Mn |
| Jun 30, 2024 | 44.85 Mn |
| Mar 31, 2024 | 45.25 Mn |
| Dec 31, 2023 | 37.37 Mn |
| Sep 30, 2023 | 37.11 Mn |
| Jun 30, 2023 | 38.92 Mn |
| Mar 31, 2023 | 34.42 Mn |
| Dec 31, 2022 | 31.64 Mn |
| Sep 30, 2022 | 24.68 Mn |
| Jun 30, 2022 | 22.27 Mn |
| Mar 31, 2022 | 23.55 Mn |
| Dec 31, 2021 | 23.35 Mn |
| Sep 30, 2021 | 21.28 Mn |
Camden National EBIT 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=ebit&ticker=CAC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebit", "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=ebit&ticker=CAC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();