Limbach Holdings (LMB) Operating Expenses (2014 - 2026)
Limbach Holdings (LMB) reported Operating Expenses of $30.04 million for Q2 2026, up 2.9% from $29.18 million a year earlier and unchanged from the prior quarter.
Limbach Holdings (LMB) Operating Expenses (2014 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Limbach Holdings' Operating Expenses came in at $121.95 million, up 7.2% year-over-year; for FY2025, it was $119.86 million, up 13.4% from FY2024.
- Operating Expenses has increased for seven consecutive years, with a five-year compound annual growth rate of 13.3% (FY2020 to FY2025).
- By year, Operating Expenses came in at $105.66 million in FY2024 (+17.4%), $90.01 million in FY2023 (+10.1%), $81.73 million in FY2022 (+13.6%) and $71.92 million in FY2021 (+12.0%).
- Five-year quarterly Operating Expenses spans a low of $18.39 million in Q3 2021 and a high of $31.34 million in Q3 2025.
- Year over year, Operating Expenses gained in seven of the last eight quarters, with growth averaging 12.4%.
- The high point for year-over-year Operating Expenses in five years was Q3 2025 (growth of 24.2%); the low point was Q4 2025 (a decline of 0.1%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $30.04 million (Q1 2026), $30.53 million (Q4 2025) and $31.34 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 100.25 Bn | 94.99 Bn | 2.26 Bn | 1.04 Bn |
| 2 | Johnson Controls International | 90.55 Bn | 88.31 Bn | 2.47 Bn | 1.49 Bn |
| 3 | Comfort Systems Usa | 58.58 Bn | 53.83 Bn | 844.23 Mn | 287.05 Mn |
| 4 | Carrier Global | 45.65 Bn | 40.28 Bn | 1.94 Bn | 5.58 Bn |
| 5 | Otis Worldwide | 24.99 Bn | 21.59 Bn | 1.14 Bn | 3.28 Bn |
| 6 | James Hardie Industries | 14.56 Bn | 13.29 Bn | 548.70 Mn | 327.40 Mn |
| 7 | Masco | 13.48 Bn | 11.59 Bn | 868.00 Mn | 397.00 Mn |
| 8 | Allegion | 13.22 Bn | 11.93 Bn | 517.50 Mn | 262.80 Mn |
| 9 | Carlisle Companies | 12.96 Bn | 9.31 Bn | 568.40 Mn | 210.70 Mn |
| 10 | Limbach Holdings | 571.62 Mn | 517.16 Mn | 37.29 Mn | 30.04 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 30.04 Mn |
| Mar 31, 2026 | 30.04 Mn |
| Dec 31, 2025 | 30.53 Mn |
| Sep 30, 2025 | 31.34 Mn |
| Jun 30, 2025 | 29.18 Mn |
| Mar 31, 2025 | 28.81 Mn |
| Dec 31, 2024 | 30.56 Mn |
| Sep 30, 2024 | 25.23 Mn |
| Jun 30, 2024 | 25.32 Mn |
| Mar 31, 2024 | 24.56 Mn |
| Dec 31, 2023 | 26.06 Mn |
| Sep 30, 2023 | 21.42 Mn |
| Jun 30, 2023 | 20.96 Mn |
| Mar 31, 2023 | 21.57 Mn |
| Dec 31, 2022 | 23.28 Mn |
| Sep 30, 2022 | 19.46 Mn |
| Jun 30, 2022 | 19.85 Mn |
| Mar 31, 2022 | 19.13 Mn |
| Dec 31, 2021 | 18.95 Mn |
| Sep 30, 2021 | 18.39 Mn |
Limbach Holdings Operating Expenses 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=operating-expenses&ticker=LMB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=LMB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();