Camden National (CAC) Return on Sales [ROS] (2010 - 2026)
Camden National (CAC) recorded Return on Sales [ROS] of 636.19% in Q2 2026, up 40.15 percentage points from 596.04% a year earlier but down 76.08 percentage points from the prior quarter.
Camden National (CAC) Return on Sales [ROS] (2010 - 2026) Analysis & Trends
On a TTM basis, Camden National's Return on Sales [ROS] came in at 659.92% as of Jun 30, 2026, up 74.97 percentage points year-over-year; for FY2025, it was 598.58%, down 44.91 percentage points from FY2024.
- Annual Return on Sales [ROS] has a five-year change of +188.42 percentage points (FY2020 to FY2025).
- Across earlier years, Return on Sales [ROS] came in at 643.49% in FY2024 (+98.45 pp), 545.04% in FY2023 (+171.36 pp), 373.68% in FY2022 (+1.49 pp) and 372.19% in FY2021 (-37.97 pp).
- Quarterly Return on Sales [ROS] has ranged from 313.01% in Q4 2021 to 712.27% in Q1 2026 over the past five years.
- On a year-over-year basis, Return on Sales [ROS] rose in five of the last eight quarters, with an average year-over-year change of +33.89 percentage points.
- Peak year-over-year performance for Return on Sales [ROS] in the last five years was a gain of 246.97 percentage points in Q2 2023, against a drop of 197.90 percentage points in Q1 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at 712.27% (Q1 2026), 614.21% (Q4 2025) and 687.91% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 886.05 Bn | 915.53 Bn | - | 91.77% |
| 2 | Banco Santander Chile | 409.93 Bn | 529.88 Bn | - | - |
| 3 | Bank Of America | 377.01 Bn | -1,999.06 Bn | - | 93.16% |
| 4 | Hsbc Holdings | 329.11 Bn | 329.16 Bn | - | - |
| 5 | Morgan Stanley | 295.54 Bn | -213.55 Bn | - | 95.89% |
| 6 | Royal Bank Of Canada | 273.59 Bn | 124.33 Bn | - | 138.04% |
| 7 | Mitsubishi Ufj Financial | 268.33 Bn | -1,320.16 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 261.29 Bn | -3,295.82 Bn | - | 131.07% |
| 9 | Wells Fargo & Company | 243.13 Bn | 245.26 Bn | - | 84.05% |
| 10 | Camden National | 953.33 Mn | 953.33 Mn | - | 636.19% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 636.19% |
| Mar 31, 2026 | 712.27% |
| Dec 31, 2025 | 614.21% |
| Sep 30, 2025 | 687.91% |
| Jun 30, 2025 | 596.04% |
| Mar 31, 2025 | 483.30% |
| Dec 31, 2024 | 617.89% |
| Sep 30, 2024 | 642.83% |
| Jun 30, 2024 | 635.95% |
| Mar 31, 2024 | 681.20% |
| Dec 31, 2023 | 517.49% |
| Sep 30, 2023 | 544.82% |
| Jun 30, 2023 | 573.27% |
| Mar 31, 2023 | 546.41% |
| Dec 31, 2022 | 426.96% |
| Sep 30, 2022 | 367.81% |
| Jun 30, 2022 | 326.30% |
| Mar 31, 2022 | 368.64% |
| Dec 31, 2021 | 313.01% |
| Sep 30, 2021 | 319.99% |
Camden National Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=CAC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=CAC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();