Camden National (CAC) Provision for Credit Losses (2010 - 2026)
Camden National (CAC) recorded Provision for Credit Losses of $1.89 million in Q3 2026, down 36.3% from $2.97 million a year earlier but up 166.6% from the prior quarter.
Camden National (CAC) Provision for Credit Losses (2010 - 2026) Analysis & Trends
On a TTM basis, Camden National's Provision for Credit Losses came in at $16.05 million as of Sep 30, 2026, down 20.3% year-over-year; for FY2025, it was $22.29 million.
- Annual Provision for Credit Losses has a five-year compound annual growth rate of 12.4% (FY2020 to FY2025).
- Across earlier years, Provision for Credit Losses came in at -$404,000 in FY2024, $2.1 million in FY2023 (-53.3%), $4.5 million in FY2022 and -$3.19 million in FY2021.
- Quarterly Provision for Credit Losses has ranged from -$2.1 million in Q1 2024 to $12.89 million in Q4 2025 over the past five years.
- On a year-over-year basis, Provision for Credit Losses has declined for three consecutive quarters, with growth averaging 273.2% over the last six quarters.
- Peak year-over-year performance for Provision for Credit Losses in the last five years was growth of 964.6% in Q2 2025, against a decline of 94.1% in Q1 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at $710,000 (Q2 2026), $553,000 (Q1 2026) and $12.89 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Provisions (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 896.53 Bn | 896.53 Bn | - | 2.74 Bn |
| 2 | Bank Of America | 354.20 Bn | -2,021.91 Bn | - | 1.24 Bn |
| 3 | Hsbc Holdings | 303.54 Bn | -1,800.05 Bn | - | - |
| 4 | Royal Bank Of Canada | 283.29 Bn | -546.75 Bn | - | 717.20 Mn |
| 5 | Morgan Stanley | 281.19 Bn | -262.84 Bn | - | 103.00 Mn |
| 6 | Goldman Sachs | 256.26 Bn | -3,487.19 Bn | - | 368.00 Mn |
| 7 | Wells Fargo & Company | 253.33 Bn | 253.33 Bn | - | 1.03 Bn |
| 8 | Mitsubishi Ufj Financial | 238.77 Bn | -102.62 Bn | 10.89 Bn | - |
| 9 | American Express | 216.03 Bn | 15.51 Bn | - | 985.00 Mn |
| 10 | Camden National | 981.05 Mn | 981.05 Mn | - | 1.89 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 1.89 Mn |
| Jun 30, 2026 | 710,000.00 |
| Mar 31, 2026 | 553,000.00 |
| Dec 31, 2025 | 12.89 Mn |
| Sep 30, 2025 | 2.97 Mn |
| Jun 30, 2025 | 6.92 Mn |
| Mar 31, 2025 | 9.43 Mn |
| Dec 31, 2024 | 809,000.00 |
| Sep 30, 2024 | 283,000.00 |
| Jun 30, 2024 | 650,000.00 |
| Mar 31, 2024 | -2.10 Mn |
| Dec 31, 2023 | 1.81 Mn |
| Sep 30, 2023 | -574,000.00 |
| Jun 30, 2023 | 305,000.00 |
| Mar 31, 2023 | 2.00 Mn |
| Dec 31, 2022 | 712,000.00 |
| Sep 30, 2022 | 2.76 Mn |
| Jun 30, 2022 | 2.51 Mn |
| Mar 31, 2022 | -1.22 Mn |
| Dec 31, 2021 | 1.85 Mn |
Camden National Provision for Credit Losses 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=provision-for-credit-losses&ticker=CAC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "provision-for-credit-losses", "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=provision-for-credit-losses&ticker=CAC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();