Camden National (CAC) Rent Expense (2010 - 2026)
Camden National (CAC) posted Rent Expense of $2.79 million for Q2 2026, up 3.6% from $2.69 million a year earlier but down 8.8% from the prior quarter.
Camden National (CAC) Rent Expense (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Rent Expense at Camden National was $11.31 million, up 18.0% year-over-year; for FY2025, it was $11.19 million, up 41.4% from FY2024.
- Annual Rent Expense has increased for four consecutive years, with a five-year compound annual growth rate of 8.1% (FY2020 to FY2025).
- In prior years, Camden National's Rent Expense was $7.91 million in FY2024 (+3.1%), $7.67 million in FY2023 (+1.3%), $7.58 million in FY2022 (+0.6%) and $7.53 million in FY2021 (-0.7%).
- Quarterly Rent Expense has run from a low of $1.77 million in Q3 2022 to a high of $3.06 million in Q1 2026 over five years.
- On a year-over-year basis, Rent Expense has increased in each of the last nine quarters, with growth averaging 22.0% over the last eight quarters.
- The strongest year-over-year quarter for Rent Expense in the past five years was Q1 2025, with growth of 46.5%; the weakest was Q4 2022, with a decline of 5.1%.
- According to Business Quant data, Rent Expense for the three prior quarters was $3.06 million (Q1 2026), $2.8 million (Q4 2025) and $2.67 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Rental Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 895.36 Bn | 924.83 Bn | - | 1.48 Bn |
| 2 | Banco Santander Chile | 425.01 Bn | 544.95 Bn | - | - |
| 3 | Bank Of America | 389.22 Bn | -1,986.85 Bn | - | 1.91 Bn |
| 4 | Hsbc Holdings | 347.56 Bn | 347.61 Bn | - | - |
| 5 | Morgan Stanley | 304.44 Bn | -204.66 Bn | - | 482.00 Mn |
| 6 | Royal Bank Of Canada | 281.54 Bn | 132.29 Bn | - | 316.29 Mn |
| 7 | Mitsubishi Ufj Financial | 277.23 Bn | -1,311.26 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 267.12 Bn | -3,289.99 Bn | - | 244.00 Mn |
| 9 | Wells Fargo & Company | 244.76 Bn | 246.90 Bn | - | 803.00 Mn |
| 10 | Camden National | 969.89 Mn | 969.89 Mn | - | 2.79 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.79 Mn |
| Mar 31, 2026 | 3.06 Mn |
| Dec 31, 2025 | 2.80 Mn |
| Sep 30, 2025 | 2.67 Mn |
| Jun 30, 2025 | 2.69 Mn |
| Mar 31, 2025 | 3.03 Mn |
| Dec 31, 2024 | 1.97 Mn |
| Sep 30, 2024 | 1.89 Mn |
| Jun 30, 2024 | 1.98 Mn |
| Mar 31, 2024 | 2.07 Mn |
| Dec 31, 2023 | 1.94 Mn |
| Sep 30, 2023 | 1.80 Mn |
| Jun 30, 2023 | 1.85 Mn |
| Mar 31, 2023 | 2.08 Mn |
| Dec 31, 2022 | 1.86 Mn |
| Sep 30, 2022 | 1.77 Mn |
| Jun 30, 2022 | 1.81 Mn |
| Mar 31, 2022 | 2.14 Mn |
| Dec 31, 2021 | 1.96 Mn |
| Sep 30, 2021 | 1.81 Mn |
Camden National Rent Expense 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=rent-expense&ticker=CAC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "rent-expense", "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=rent-expense&ticker=CAC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();