Camden National (CAC) Cash from Operations (2012 - 2026)
Camden National's Cash from Operations was $31.16 million in Q2 2026, up 416.5% from $6.03 million a year earlier and up 55.7% from the prior quarter.
Camden National (CAC) Cash from Operations (2012 - 2026) Analysis & Trends
On a trailing twelve-month basis, Camden National's Cash from Operations was $108.01 million through Jun 30, 2026, up 202.1% year-over-year; for FY2025, it came in at $63.91 million, up 4.9% from FY2024.
- Cash from Operations shows a five-year compound annual growth rate of 28.5% (FY2020 to FY2025).
- In earlier years, Cash from Operations was $60.93 million in FY2024 (-9.7%), $67.51 million in FY2023 (-35.8%), $105.18 million in FY2022 (-26.3%) and $142.72 million in FY2021 (+682.9%).
- Quarterly Cash from Operations has moved between -$14.5 million (Q3 2024) and $47.16 million (Q3 2023) over five years.
- Compared with a year earlier, Cash from Operations was higher in 1 of the last four quarters, with growth averaging 53.0%.
- The best year-over-year quarter for Cash from Operations over five years was Q2 2026 (growth of 416.5%); the worst was Q1 2025 (a decline of 94.2%).
- Per Business Quant data, CAC's Cash from Operations in the three quarters before Q2 2026 was $20.01 million (Q1 2026), $20.75 million (Q4 2025) and $36.1 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash from Ops. (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 890.60 Bn | 920.07 Bn | - | -25.28 Bn |
| 2 | Banco Santander Chile | 421.74 Bn | 541.68 Bn | - | - |
| 3 | Bank Of America | 385.85 Bn | -1,990.22 Bn | - | 29.04 Bn |
| 4 | Hsbc Holdings | 345.94 Bn | 345.99 Bn | - | - |
| 5 | Morgan Stanley | 303.15 Bn | -205.95 Bn | - | -2.75 Bn |
| 6 | Royal Bank Of Canada | 279.82 Bn | 130.57 Bn | - | 25.17 Bn |
| 7 | Mitsubishi Ufj Financial | 274.62 Bn | -1,313.87 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 267.07 Bn | -3,290.04 Bn | - | 6.11 Bn |
| 9 | Wells Fargo & Company | 243.79 Bn | 245.93 Bn | - | 6.78 Bn |
| 10 | Camden National | 948.77 Mn | 948.77 Mn | - | 31.16 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 31.16 Mn |
| Mar 31, 2026 | 20.01 Mn |
| Dec 31, 2025 | 20.75 Mn |
| Sep 30, 2025 | 36.10 Mn |
| Jun 30, 2025 | 6.03 Mn |
| Mar 31, 2025 | 1.03 Mn |
| Dec 31, 2024 | 43.19 Mn |
| Sep 30, 2024 | -14.50 Mn |
| Jun 30, 2024 | 14.49 Mn |
| Mar 31, 2024 | 17.76 Mn |
| Dec 31, 2023 | -11.30 Mn |
| Sep 30, 2023 | 47.16 Mn |
| Jun 30, 2023 | 17.13 Mn |
| Mar 31, 2023 | 14.52 Mn |
| Dec 31, 2022 | 20.47 Mn |
| Sep 30, 2022 | 15.20 Mn |
| Jun 30, 2022 | 26.77 Mn |
| Mar 31, 2022 | 42.75 Mn |
| Dec 31, 2021 | 31.05 Mn |
| Sep 30, 2021 | 27.16 Mn |
Camden National Cash from Operations 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=cash-from-operations&ticker=CAC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-from-operations", "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=cash-from-operations&ticker=CAC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();