Limbach Holdings (LMB) Cost of Revenue (2015 - 2026)
Limbach Holdings' Cost of Revenue was $176.62 million in Q3 2026, up 26.2% from $139.9 million a year earlier and up 29.7% from the prior quarter.
Limbach Holdings (LMB) Cost of Revenue (2015 - 2026) Analysis & Trends
On a trailing twelve-month basis, Limbach Holdings' Cost of Revenue was $559.26 million through Sep 30, 2026, up 27.5% year-over-year; for FY2025, it came in at $477.49 million, up 27.5% from FY2024.
- Cost of Revenue shows a five-year compound annual growth rate of -0.4% (FY2020 to FY2025).
- In earlier years, Cost of Revenue was $374.5 million in FY2024 (-5.7%), $397.06 million in FY2023 (-1.5%), $403.04 million in FY2022 (-0.3%) and $404.44 million in FY2021 (-16.9%).
- The Q3 2026 figure marks the highest quarterly Cost of Revenue in data going back to Q2 2015.
- Compared with a year earlier, Cost of Revenue has increased for seven straight quarters, with growth averaging 21.2% over the last eight quarters.
- The best year-over-year quarter for Cost of Revenue over five years was Q3 2025 (growth of 43.0%); the worst was Q4 2021 (a decline of 9.4%).
- Per Business Quant data, LMB's Cost of Revenue in the three quarters before Q3 2026 was $136.16 million (Q2 2026), $107.69 million (Q1 2026) and $138.79 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 92.74 Bn | 87.35 Bn | 2.38 Bn | 4.37 Bn |
| 2 | Johnson Controls International | 85.97 Bn | 83.70 Bn | 2.47 Bn | 4.14 Bn |
| 3 | Carrier Global | 44.31 Bn | 38.69 Bn | 1.90 Bn | 4.36 Bn |
| 4 | Comfort Systems Usa | 38.78 Bn | 32.73 Bn | 934.48 Mn | 2.83 Bn |
| 5 | Otis Worldwide | 30.32 Bn | 26.71 Bn | 1.16 Bn | 2.76 Bn |
| 6 | James Hardie Industries | 17.51 Bn | 16.45 Bn | 562.40 Mn | 865.80 Mn |
| 7 | Masco | 16.90 Bn | 14.71 Bn | 720.00 Mn | 1.25 Bn |
| 8 | Allegion | 16.21 Bn | 14.84 Bn | 548.20 Mn | 624.40 Mn |
| 9 | Carlisle Companies | 15.65 Bn | 12.56 Bn | 494.90 Mn | 968.50 Mn |
| 10 | Limbach Holdings | 678.51 Mn | 604.77 Mn | 53.84 Mn | 176.62 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 176.62 Mn |
| Jun 30, 2026 | 136.16 Mn |
| Mar 31, 2026 | 107.69 Mn |
| Dec 31, 2025 | 138.79 Mn |
| Sep 30, 2025 | 139.90 Mn |
| Jun 30, 2025 | 102.42 Mn |
| Mar 31, 2025 | 96.39 Mn |
| Dec 31, 2024 | 100.08 Mn |
| Sep 30, 2024 | 97.81 Mn |
| Jun 30, 2024 | 88.73 Mn |
| Mar 31, 2024 | 87.89 Mn |
| Dec 31, 2023 | 109.39 Mn |
| Sep 30, 2023 | 96.52 Mn |
| Jun 30, 2023 | 96.37 Mn |
| Mar 31, 2023 | 94.78 Mn |
| Dec 31, 2022 | 114.26 Mn |
| Sep 30, 2022 | 97.50 Mn |
| Jun 30, 2022 | 94.80 Mn |
| Mar 31, 2022 | 96.48 Mn |
| Dec 31, 2021 | 101.28 Mn |
Limbach Holdings Cost of Revenue 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=cost-of-revenue&ticker=LMB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=LMB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();