Camden National (CAC) Interest Expenses (2010 - 2026)
Camden National's Interest Expenses was $26.05 million in Q2 2026, down 13.5% from $30.11 million a year earlier but up 0.1% from the prior quarter.
Camden National (CAC) Interest Expenses (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Camden National's Interest Expenses was $109.81 million through Jun 30, 2026, down 6.8% year-over-year; for FY2025, it was $117.4 million, up 0.3% from FY2024.
- Interest Expenses has now increased for four consecutive years, with a five-year compound annual growth rate of 41.2% (FY2020 to FY2025).
- In earlier years, Interest Expenses was $117.1 million in FY2024 (+24.6%), $93.98 million in FY2023 (+274.5%), $25.09 million in FY2022 (+127.1%) and $11.05 million in FY2021 (-47.1%).
- Quarterly Interest Expenses has moved between $2.49 million (Q1 2022) and $30.13 million (Q3 2024) over five years.
- Compared with a year earlier, Interest Expenses was higher in five of the last eight quarters, with an average decline of 0.1%.
- The best year-over-year quarter for Interest Expenses over five years was Q1 2023 (growth of 639.9%); the worst was Q3 2021 (a decline of 37.1%).
- Per Business Quant data, CAC's Interest Expenses in the three quarters before Q2 2026 was $26.01 million (Q1 2026), $28.13 million (Q4 2025) and $29.62 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 890.60 Bn | 920.07 Bn | - | 25.11 Bn |
| 2 | Banco Santander Chile | 421.74 Bn | 541.68 Bn | - | -538.61 Bn |
| 3 | Bank Of America | 385.85 Bn | -1,990.22 Bn | - | 17.84 Bn |
| 4 | Hsbc Holdings | 345.94 Bn | 345.99 Bn | - | - |
| 5 | Morgan Stanley | 303.15 Bn | -205.95 Bn | - | 13.12 Bn |
| 6 | Royal Bank Of Canada | 279.82 Bn | 130.57 Bn | - | 12.80 Bn |
| 7 | Mitsubishi Ufj Financial | 274.62 Bn | -1,313.87 Bn | 10.89 Bn | 9.12 Bn |
| 8 | Goldman Sachs | 267.07 Bn | -3,290.04 Bn | - | 18.09 Bn |
| 9 | Wells Fargo & Company | 243.79 Bn | 245.93 Bn | - | 10.97 Bn |
| 10 | Camden National | 948.77 Mn | 948.77 Mn | - | 26.05 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 26.05 Mn |
| Mar 31, 2026 | 26.01 Mn |
| Dec 31, 2025 | 28.13 Mn |
| Sep 30, 2025 | 29.62 Mn |
| Jun 30, 2025 | 30.11 Mn |
| Mar 31, 2025 | 29.54 Mn |
| Dec 31, 2024 | 28.08 Mn |
| Sep 30, 2024 | 30.13 Mn |
| Jun 30, 2024 | 29.98 Mn |
| Mar 31, 2024 | 28.91 Mn |
| Dec 31, 2023 | 27.09 Mn |
| Sep 30, 2023 | 25.09 Mn |
| Jun 30, 2023 | 23.37 Mn |
| Mar 31, 2023 | 18.45 Mn |
| Dec 31, 2022 | 12.34 Mn |
| Sep 30, 2022 | 6.77 Mn |
| Jun 30, 2022 | 3.50 Mn |
| Mar 31, 2022 | 2.49 Mn |
| Dec 31, 2021 | 2.65 Mn |
| Sep 30, 2021 | 2.63 Mn |
Camden National Interest Expenses 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=interest-expenses&ticker=CAC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "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=interest-expenses&ticker=CAC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();