Limbach Holdings (LMB) Cash & Equivalents (2015 - 2026)
Limbach Holdings (LMB) recorded Cash & Equivalents of $29.1 million in Q3 2026, up 196.4% from $9.82 million a year earlier and up 66.0% from the prior quarter.
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Analysis
Limbach Holdings (LMB) Cash & Equivalents (2015 - 2026) Analysis & Trends
At the end of FY2025, Limbach Holdings reported Cash & Equivalents of $11.35 million, down 74.7% from FY2024.
- Annual Cash & Equivalents has a five-year compound annual growth rate of -23.1% (FY2020 to FY2025).
- Across earlier years, Cash & Equivalents came in at $44.93 million in FY2024 (-24.9%), $59.83 million in FY2023 (+66.2%), $36 million in FY2022 (+148.7%) and $14.48 million in FY2021 (-65.7%).
- The Q3 2026 figure is the highest quarterly Cash & Equivalents since Q2 2025.
- On a year-over-year basis, Cash & Equivalents rose in 1 of the last eight quarters, with an average decline of 19.2%.
- Peak year-over-year performance for Cash & Equivalents in the last five years was growth of 196.4% in Q3 2026, against a decline of 80.8% in Q3 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $17.53 million (Q2 2026), $15.77 million (Q1 2026) and $11.35 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 92.37 Bn | 86.98 Bn | 2.38 Bn | 1.23 Bn |
| 2 | Johnson Controls International | 86.38 Bn | 84.11 Bn | 2.47 Bn | 641.00 Mn |
| 3 | Carrier Global | 44.18 Bn | 38.56 Bn | 1.90 Bn | 1.35 Bn |
| 4 | Comfort Systems Usa | 38.62 Bn | 32.58 Bn | 934.48 Mn | 2.16 Bn |
| 5 | Otis Worldwide | 30.18 Bn | 26.57 Bn | 1.16 Bn | 866.00 Mn |
| 6 | James Hardie Industries | 17.42 Bn | 16.36 Bn | 562.40 Mn | 323.10 Mn |
| 7 | Masco | 16.75 Bn | 14.56 Bn | 720.00 Mn | 610.00 Mn |
| 8 | Allegion | 16.09 Bn | 14.72 Bn | 548.20 Mn | 388.10 Mn |
| 9 | Carlisle Companies | 15.48 Bn | 12.38 Bn | 494.90 Mn | 546.70 Mn |
| 10 | Limbach Holdings | 676.19 Mn | 602.45 Mn | 53.84 Mn | 29.10 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 29.10 Mn |
| Jun 30, 2026 | 17.53 Mn |
| Mar 31, 2026 | 15.77 Mn |
| Dec 31, 2025 | 11.35 Mn |
| Sep 30, 2025 | 9.82 Mn |
| Jun 30, 2025 | 38.94 Mn |
| Mar 31, 2025 | 38.09 Mn |
| Dec 31, 2024 | 44.93 Mn |
| Sep 30, 2024 | 51.16 Mn |
| Jun 30, 2024 | 59.53 Mn |
| Mar 31, 2024 | 48.24 Mn |
| Dec 31, 2023 | 59.83 Mn |
| Sep 30, 2023 | 57.47 Mn |
| Jun 30, 2023 | 45.93 Mn |
| Mar 31, 2023 | 41.38 Mn |
| Dec 31, 2022 | 36.00 Mn |
| Sep 30, 2022 | 28.42 Mn |
| Jun 30, 2022 | 19.63 Mn |
| Mar 31, 2022 | 18.07 Mn |
| Dec 31, 2021 | 14.48 Mn |
API Access
Limbach Holdings Cash & Equivalents 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=cash-and-equivalents&ticker=LMB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=LMB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();