Limbach Holdings (LMB) Return on Sales [ROS] (2016 - 2026)
Limbach Holdings (LMB) reported Return on Sales [ROS] of 6.54% for Q3 2026, down 0.69 percentage points from 7.23% a year earlier but up 2.36 percentage points from the prior quarter.
Limbach Holdings (LMB) Return on Sales [ROS] (2016 - 2026) Analysis & Trends
Over the twelve months ended Sep 30, 2026, Limbach Holdings' Return on Sales [ROS] came in at 5.62%, down 1.82 percentage points year-over-year; for FY2025, it was 7.65%, up 0.20 percentage points from FY2024.
- Return on Sales [ROS] has increased for three consecutive years, with a five-year change of +4.63 percentage points (FY2020 to FY2025).
- By year, Return on Sales [ROS] came in at 7.45% in FY2024 (+1.77 pp), 5.67% in FY2023 (+3.25 pp), 2.42% in FY2022 (-0.44 pp) and 2.85% in FY2021 (-0.17 pp).
- Five-year quarterly Return on Sales [ROS] spans a low of -0.69% in Q1 2022 and a high of 9.39% in Q4 2025.
- Year over year, Return on Sales [ROS] has now declined in each of the last three quarters, with an average year-over-year change of -0.56 percentage points over the last eight quarters.
- The high point for year-over-year Return on Sales [ROS] in five years was Q2 2023 (a gain of 4.78 percentage points); the low point was Q1 2026 (a drop of 5.13 percentage points).
- Per Business Quant data, the three quarters before Q3 2026 came in at 4.18% (Q2 2026), 0.82% (Q1 2026) and 9.39% (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 92.53 Bn | 87.15 Bn | 2.38 Bn | 19.87% |
| 2 | Johnson Controls International | 86.41 Bn | 84.14 Bn | 2.47 Bn | 14.92% |
| 3 | Carrier Global | 44.23 Bn | 38.61 Bn | 1.90 Bn | -36.29% |
| 4 | Comfort Systems Usa | 38.60 Bn | 32.56 Bn | 934.48 Mn | 16.58% |
| 5 | Otis Worldwide | 30.20 Bn | 26.59 Bn | 1.16 Bn | 15.84% |
| 6 | James Hardie Industries | 17.42 Bn | 16.35 Bn | 562.40 Mn | 18.44% |
| 7 | Masco | 16.78 Bn | 14.58 Bn | 720.00 Mn | 17.19% |
| 8 | Allegion | 16.09 Bn | 14.72 Bn | 548.20 Mn | 24.27% |
| 9 | Carlisle Companies | 15.51 Bn | 12.41 Bn | 494.90 Mn | 20.04% |
| 10 | Limbach Holdings | 676.19 Mn | 602.45 Mn | 53.84 Mn | 6.54% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 6.54% |
| Jun 30, 2026 | 4.18% |
| Mar 31, 2026 | 0.82% |
| Dec 31, 2025 | 9.39% |
| Sep 30, 2025 | 7.23% |
| Jun 30, 2025 | 7.48% |
| Mar 31, 2025 | 5.94% |
| Dec 31, 2024 | 9.06% |
| Sep 30, 2024 | 8.13% |
| Jun 30, 2024 | 6.70% |
| Mar 31, 2024 | 5.49% |
| Dec 31, 2023 | 5.08% |
| Sep 30, 2023 | 7.69% |
| Jun 30, 2023 | 6.05% |
| Mar 31, 2023 | 3.85% |
| Dec 31, 2022 | 4.14% |
| Sep 30, 2022 | 4.41% |
| Jun 30, 2022 | 1.26% |
| Mar 31, 2022 | -0.69% |
| Dec 31, 2021 | 5.19% |
Limbach Holdings 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=LMB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "LMB", "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=LMB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();