Limbach Holdings (LMB) Return on Sales [ROS] (2016 - 2026)
Limbach Holdings (LMB) reported Return on Sales [ROS] of 4.18% for Q2 2026, down 3.30 percentage points from 7.48% a year earlier but up 3.36 percentage points from the prior quarter.
Limbach Holdings (LMB) Return on Sales [ROS] (2016 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Limbach Holdings' Return on Sales [ROS] came in at 5.75%, down 1.93 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] gained in five of the last eight quarters, with an average year-over-year change of -0.42 percentage points.
- 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 Q2 2026 came in at 0.82% (Q1 2026), 9.39% (Q4 2025) and 7.23% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 102.06 Bn | 96.80 Bn | 2.26 Bn | 19.27% |
| 2 | Johnson Controls International | 94.64 Bn | 92.40 Bn | 2.47 Bn | 14.92% |
| 3 | Comfort Systems Usa | 60.88 Bn | 56.13 Bn | 844.23 Mn | 17.09% |
| 4 | Carrier Global | 45.43 Bn | 40.06 Bn | 1.94 Bn | 12.99% |
| 5 | Otis Worldwide | 24.39 Bn | 20.99 Bn | 1.14 Bn | 14.90% |
| 6 | James Hardie Industries | 14.50 Bn | 13.23 Bn | 548.70 Mn | 14.76% |
| 7 | Masco | 13.48 Bn | 11.58 Bn | 868.00 Mn | 23.59% |
| 8 | Allegion | 13.12 Bn | 11.83 Bn | 517.50 Mn | 22.12% |
| 9 | Carlisle Companies | 13.11 Bn | 9.46 Bn | 568.40 Mn | 22.45% |
| 10 | Limbach Holdings | 585.32 Mn | 530.87 Mn | 37.29 Mn | 4.18% |
Historic Data
| Date | Value |
|---|---|
| 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% |
| Sep 30, 2021 | 4.70% |
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();