Limbach Holdings (LMB) Accumulated Expenses (2015 - 2026)
Limbach Holdings (LMB) recorded Accumulated Expenses of $25.33 million in Q2 2026, down 7.6% from $27.41 million a year earlier but up 17.6% from the prior quarter.
Limbach Holdings (LMB) Accumulated Expenses (2015 - 2026) Analysis & Trends
At the end of FY2025, Limbach Holdings reported Accumulated Expenses of $29.42 million, down 20.1% from FY2024.
- Annual Accumulated Expenses has a five-year compound annual growth rate of 3.5% (FY2020 to FY2025).
- Across earlier years, Accumulated Expenses came in at $36.83 million in FY2024 (+18.9%), $30.97 million in FY2023 (+24.2%), $24.94 million in FY2022 (+2.0%) and $24.44 million in FY2021 (-1.2%).
- Quarterly Accumulated Expenses has ranged from $21.53 million in Q1 2026 to $38.51 million in Q3 2025 over the past five years.
- On a year-over-year basis, Accumulated Expenses has declined for three consecutive quarters, with growth averaging 4.3% over the last eight quarters.
- Peak year-over-year performance for Accumulated Expenses in the last five years was growth of 34.1% in Q2 2022, against a decline of 22.9% in Q1 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at $21.53 million (Q1 2026), $29.42 million (Q4 2025) and $38.51 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Trane Technologies | 99.46 Bn | 94.20 Bn | 2.26 Bn |
| 2 | Johnson Controls International | 90.06 Bn | 87.82 Bn | 2.47 Bn |
| 3 | Comfort Systems Usa | 58.26 Bn | 53.51 Bn | 844.23 Mn |
| 4 | Carrier Global | 45.22 Bn | 39.85 Bn | 1.94 Bn |
| 5 | Otis Worldwide | 24.48 Bn | 21.09 Bn | 1.14 Bn |
| 6 | James Hardie Industries | 14.69 Bn | 13.43 Bn | 548.70 Mn |
| 7 | Masco | 13.29 Bn | 11.40 Bn | 868.00 Mn |
| 8 | Allegion | 13.08 Bn | 11.79 Bn | 517.50 Mn |
| 9 | Carlisle Companies | 12.82 Bn | 9.17 Bn | 568.40 Mn |
| 10 | Limbach Holdings | 583.30 Mn | 528.84 Mn | 37.29 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 25.33 Mn |
| Mar 31, 2026 | 21.53 Mn |
| Dec 31, 2025 | 29.42 Mn |
| Sep 30, 2025 | 38.51 Mn |
| Jun 30, 2025 | 27.41 Mn |
| Mar 31, 2025 | 27.92 Mn |
| Dec 31, 2024 | 36.83 Mn |
| Sep 30, 2024 | 31.08 Mn |
| Jun 30, 2024 | 24.27 Mn |
| Mar 31, 2024 | 24.72 Mn |
| Dec 31, 2023 | 30.97 Mn |
| Sep 30, 2023 | 26.72 Mn |
| Jun 30, 2023 | 22.68 Mn |
| Mar 31, 2023 | 21.57 Mn |
| Dec 31, 2022 | 24.94 Mn |
| Sep 30, 2022 | 24.14 Mn |
| Jun 30, 2022 | 25.77 Mn |
| Mar 31, 2022 | 26.43 Mn |
| Dec 31, 2021 | 24.44 Mn |
| Sep 30, 2021 | 22.42 Mn |
Limbach Holdings Accumulated 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=accumulated-expenses&ticker=LMB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=LMB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();