Limbach Holdings (LMB) Goodwill & Intangibles (2016 - 2026)
Limbach Holdings' Goodwill & Intangibles was $190.58 million in Q3 2026, up 57.2% from $121.24 million a year earlier and up 60.9% from the prior quarter.
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Analysis
Limbach Holdings (LMB) Goodwill & Intangibles (2016 - 2026) Analysis & Trends
At the end of FY2025, Goodwill & Intangibles at Limbach Holdings came in at $119.79 million, up 61.3% from FY2024.
- Goodwill & Intangibles has now increased for three consecutive years, with a five-year compound annual growth rate of 46.4% (FY2020 to FY2025).
- In earlier years, Goodwill & Intangibles was $74.26 million in FY2024 (+79.5%), $41.37 million in FY2023 (+54.9%), $26.71 million in FY2022 (-5.5%) and $28.28 million in FY2021 (+58.8%).
- The Q3 2026 figure marks the highest quarterly Goodwill & Intangibles in data going back to Q4 2016.
- Compared with a year earlier, Goodwill & Intangibles has increased for 13 straight quarters, with growth averaging 76.4% over the last eight quarters.
- The best year-over-year quarter for Goodwill & Intangibles over five years was Q3 2025 (growth of 124.2%); the worst was Q2 2023 (a decline of 5.6%).
- Per Business Quant data, LMB's Goodwill & Intangibles in the three quarters before Q3 2026 was $118.42 million (Q2 2026), $118.14 million (Q1 2026) and $119.79 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Trane Technologies | 88.43 Bn | 83.04 Bn | 2.38 Bn |
| 2 | Johnson Controls International | 81.95 Bn | 79.68 Bn | 2.47 Bn |
| 3 | Carrier Global | 43.09 Bn | 37.47 Bn | 1.90 Bn |
| 4 | Comfort Systems Usa | 35.64 Bn | 29.60 Bn | 934.48 Mn |
| 5 | Otis Worldwide | 30.11 Bn | 26.50 Bn | 1.16 Bn |
| 6 | James Hardie Industries | 16.21 Bn | 15.14 Bn | 562.40 Mn |
| 7 | Masco | 16.11 Bn | 13.92 Bn | 720.00 Mn |
| 8 | Allegion | 15.72 Bn | 14.35 Bn | 548.20 Mn |
| 9 | Carlisle Companies | 14.80 Bn | 11.71 Bn | 494.90 Mn |
| 10 | Limbach Holdings | 633.28 Mn | 559.54 Mn | 53.84 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 190.58 Mn |
| Jun 30, 2026 | 118.42 Mn |
| Mar 31, 2026 | 118.14 Mn |
| Dec 31, 2025 | 119.79 Mn |
| Sep 30, 2025 | 121.24 Mn |
| Jun 30, 2025 | 70.80 Mn |
| Mar 31, 2025 | 72.54 Mn |
| Dec 31, 2024 | 74.26 Mn |
| Sep 30, 2024 | 54.08 Mn |
| Jun 30, 2024 | 39.40 Mn |
| Mar 31, 2024 | 40.41 Mn |
| Dec 31, 2023 | 41.37 Mn |
| Sep 30, 2023 | 30.29 Mn |
| Jun 30, 2023 | 25.98 Mn |
| Mar 31, 2023 | 26.36 Mn |
| Dec 31, 2022 | 26.71 Mn |
| Sep 30, 2022 | 27.12 Mn |
| Jun 30, 2022 | 27.51 Mn |
| Mar 31, 2022 | 27.91 Mn |
| Dec 31, 2021 | 28.28 Mn |
API Access
Limbach Holdings Goodwill & Intangibles 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=goodwill-and-intangibles&ticker=LMB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "goodwill-and-intangibles", "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=goodwill-and-intangibles&ticker=LMB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();