Limbach Holdings (LMB) Total Liabilities (2014 - 2026)
Limbach Holdings (LMB) posted Total Liabilities of $361.64 million for Q3 2026, up 58.9% from $227.56 million a year earlier and up 80.0% from the prior quarter.
Limbach Holdings (LMB) Total Liabilities (2014 - 2026) Analysis & Trends
At the end of FY2025, Limbach Holdings' Total Liabilities came in at $185.47 million, down 6.6% from FY2024.
- Annual Total Liabilities shows a five-year compound annual growth rate of -2.3% (FY2020 to FY2025).
- In prior years, Limbach Holdings' Total Liabilities was $198.64 million in FY2024 (+8.2%), $183.52 million in FY2023 (-7.8%), $199.11 million in FY2022 (+10.8%) and $179.67 million in FY2021 (-13.8%).
- The Q3 2026 figure stands as the highest quarterly Total Liabilities in data going back to Q1 2015.
- On a year-over-year basis, Total Liabilities has increased in each of the last three quarters, with growth averaging 14.1% over the last eight quarters.
- The strongest year-over-year quarter for Total Liabilities in the past five years was Q3 2026, with growth of 58.9%; the weakest was Q4 2021, with a decline of 13.8%.
- According to Business Quant data, Total Liabilities for the three prior quarters was $200.86 million (Q2 2026), $180.64 million (Q1 2026) and $185.47 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 88.43 Bn | 83.04 Bn | 2.38 Bn | 14.76 Bn |
| 2 | Johnson Controls International | 81.95 Bn | 79.68 Bn | 2.47 Bn | 25.24 Bn |
| 3 | Carrier Global | 43.09 Bn | 37.47 Bn | 1.90 Bn | 23.17 Bn |
| 4 | Comfort Systems Usa | 35.64 Bn | 29.60 Bn | 934.48 Mn | 6.47 Bn |
| 5 | Otis Worldwide | 30.11 Bn | 26.50 Bn | 1.16 Bn | 16.74 Bn |
| 6 | James Hardie Industries | 16.21 Bn | 15.14 Bn | 562.40 Mn | 6.67 Bn |
| 7 | Masco | 16.11 Bn | 13.92 Bn | 720.00 Mn | 5.79 Bn |
| 8 | Allegion | 15.72 Bn | 14.35 Bn | 548.20 Mn | 3.29 Bn |
| 9 | Carlisle Companies | 14.80 Bn | 11.71 Bn | 494.90 Mn | 4.59 Bn |
| 10 | Limbach Holdings | 633.28 Mn | 559.54 Mn | 53.84 Mn | 361.64 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 361.64 Mn |
| Jun 30, 2026 | 200.86 Mn |
| Mar 31, 2026 | 180.64 Mn |
| Dec 31, 2025 | 185.47 Mn |
| Sep 30, 2025 | 227.56 Mn |
| Jun 30, 2025 | 172.45 Mn |
| Mar 31, 2025 | 175.24 Mn |
| Dec 31, 2024 | 198.64 Mn |
| Sep 30, 2024 | 182.22 Mn |
| Jun 30, 2024 | 170.98 Mn |
| Mar 31, 2024 | 163.66 Mn |
| Dec 31, 2023 | 183.52 Mn |
| Sep 30, 2023 | 171.07 Mn |
| Jun 30, 2023 | 161.77 Mn |
| Mar 31, 2023 | 181.33 Mn |
| Dec 31, 2022 | 199.11 Mn |
| Sep 30, 2022 | 187.88 Mn |
| Jun 30, 2022 | 182.73 Mn |
| Mar 31, 2022 | 194.13 Mn |
| Dec 31, 2021 | 179.67 Mn |
Limbach Holdings Total Liabilities 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=total-liabilities&ticker=LMB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=LMB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();