Acnb (ACNB) Return on Sales [ROS] (2012 - 2026)
Acnb's Return on Sales [ROS] came in at 598.99% for Q2 2026, up 62.58 percentage points from 536.41% a year earlier and up 3.01 percentage points from the prior quarter.
Acnb (ACNB) Return on Sales [ROS] (2012 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Acnb reported Return on Sales [ROS] of 572.95%, up 137.59 percentage points year-over-year; for FY2025, it came in at 477.13%, down 59.64 percentage points from FY2024.
- Return on Sales [ROS] carries a five-year change of +168.18 percentage points (FY2020 to FY2025).
- Going back by year, Return on Sales [ROS] was 536.77% in FY2024 (+99.11 pp), 437.66% in FY2023 (-2.53 pp), 440.19% in FY2022 (+128.62 pp) and 311.57% in FY2021 (+2.62 pp).
- The five-year range for quarterly Return on Sales [ROS] is 188.45% (Q4 2021) to 679.73% (Q2 2024).
- Year-over-year, Return on Sales [ROS] has increased for four consecutive quarters, with an average year-over-year change of +38.11 percentage points over the last eight quarters.
- The fastest year-over-year change in Return on Sales [ROS] over five years came in Q1 2026 (a gain of 370.69 percentage points), and the weakest in Q1 2025 (a drop of 267.87 percentage points).
- Business Quant data shows ACNB's Return on Sales [ROS] at 595.98% (Q1 2026), 485.18% (Q4 2025) and 612.58% (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 881.30 Bn | 881.30 Bn | - | 91.77% |
| 2 | Bank Of America | 354.90 Bn | -2,021.17 Bn | - | 93.16% |
| 3 | Hsbc Holdings | 311.39 Bn | -1,517.77 Bn | - | 46.36% |
| 4 | Morgan Stanley | 282.15 Bn | -226.95 Bn | - | 95.89% |
| 5 | Royal Bank Of Canada | 281.68 Bn | -548.32 Bn | - | 138.04% |
| 6 | Goldman Sachs | 255.22 Bn | -3,301.89 Bn | - | 131.07% |
| 7 | Mitsubishi Ufj Financial | 249.82 Bn | -82.42 Bn | 10.89 Bn | 51.45% |
| 8 | Wells Fargo & Company | 249.49 Bn | 251.62 Bn | - | 84.05% |
| 9 | Toronto Dominion Bank | 210.53 Bn | -465.35 Bn | - | 6.25% |
| 10 | Acnb | 665.32 Mn | 665.32 Mn | - | 67.56% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 67.56% |
| Mar 31, 2026 | 66.15% |
| Dec 31, 2025 | 62.35% |
| Sep 30, 2025 | 72.18% |
| Jun 30, 2025 | 64.18% |
| Mar 31, 2025 | 25.24% |
| Dec 31, 2024 | 53.88% |
| Sep 30, 2024 | 56.56% |
| Jun 30, 2024 | 73.58% |
| Mar 31, 2024 | 52.96% |
| Dec 31, 2023 | 38.00% |
| Sep 30, 2023 | 50.34% |
| Jun 30, 2023 | 47.11% |
| Mar 31, 2023 | 43.59% |
| Dec 31, 2022 | 46.30% |
| Sep 30, 2022 | 49.04% |
| Jun 30, 2022 | 45.46% |
| Mar 31, 2022 | 43.02% |
| Dec 31, 2021 | 29.80% |
| Sep 30, 2021 | 46.32% |
Acnb 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=ACNB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "ACNB", "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=ACNB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();