Lcnb (LCNB) Return on Sales [ROS] (2009 - 2026)
Lcnb (LCNB) reported Return on Sales [ROS] of 62.58% for Q2 2026, down 5.89 percentage points from 68.46% a year earlier but up 12.01 percentage points from the prior quarter.
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Analysis
Lcnb (LCNB) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Lcnb's Return on Sales [ROS] came in at 60.37%, down 12.64 percentage points year-over-year; for FY2025, it was 65.96%, down 8.16 percentage points from FY2024.
- Return on Sales [ROS] has a five-year change of +21.87 percentage points (FY2020 to FY2025).
- By year, Return on Sales [ROS] came in at 74.12% in FY2024 (+20.45 pp), 53.66% in FY2023 (+11.64 pp), 42.02% in FY2022 (+1.62 pp) and 40.40% in FY2021 (-3.68 pp).
- Five-year quarterly Return on Sales [ROS] spans a low of 35.86% in Q1 2022 and a high of 78.39% in Q3 2024.
- Year over year, Return on Sales [ROS] has now declined in each of the last four quarters, with an average year-over-year change of -0.62 percentage points over the last eight quarters.
- The high point for year-over-year Return on Sales [ROS] in five years was Q4 2024 (a gain of 35.55 percentage points); the low point was Q4 2025 (a drop of 19.49 percentage points).
- Per Business Quant data, the three quarters before Q2 2026 came in at 50.57% (Q1 2026), 58.22% (Q4 2025) and 69.88% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - | 91.99% |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - | - |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - | 89.38% |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - | 48.15% |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - | 95.47% |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - | 138.04% |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - | 139.33% |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - | 84.54% |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn | 51.45% |
| 10 | Lcnb | 280.39 Mn | 134.49 Mn | - | 62.85% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 62.85% |
| Jun 30, 2026 | 62.58% |
| Mar 31, 2026 | 50.57% |
| Dec 31, 2025 | 58.22% |
| Sep 30, 2025 | 69.88% |
| Jun 30, 2025 | 68.46% |
| Mar 31, 2025 | 67.52% |
| Dec 31, 2024 | 77.71% |
| Sep 30, 2024 | 78.39% |
| Jun 30, 2024 | 65.77% |
| Mar 31, 2024 | 73.44% |
| Dec 31, 2023 | 42.16% |
| Sep 30, 2023 | 64.82% |
| Jun 30, 2023 | 57.46% |
| Mar 31, 2023 | 51.54% |
| Dec 31, 2022 | 46.89% |
| Sep 30, 2022 | 42.53% |
| Jun 30, 2022 | 42.20% |
| Mar 31, 2022 | 35.86% |
| Dec 31, 2021 | 41.45% |
API Access
Lcnb 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=LCNB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "LCNB", "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=LCNB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();