Limbach Holdings (LMB) Cash & Equivalents (2015 - 2026)
Limbach Holdings (LMB) recorded Cash & Equivalents of $17.53 million in Q2 2026, down 55.0% from $38.94 million a year earlier but up 11.2% from the prior quarter.
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%).
- Quarterly Cash & Equivalents has ranged from $9.82 million in Q3 2025 to $59.83 million in Q4 2023 over the past five years.
- On a year-over-year basis, Cash & Equivalents has declined for eight consecutive quarters, with an average decline of 45.1% over the last eight quarters.
- Peak year-over-year performance for Cash & Equivalents in the last five years was growth of 148.7% in Q4 2022, against a decline of 80.8% in Q3 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $15.77 million (Q1 2026), $11.35 million (Q4 2025) and $9.82 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 102.06 Bn | 96.80 Bn | 2.26 Bn | 1.32 Bn |
| 2 | Johnson Controls International | 94.64 Bn | 92.40 Bn | 2.47 Bn | 641.00 Mn |
| 3 | Comfort Systems Usa | 60.88 Bn | 56.13 Bn | 844.23 Mn | 1.85 Bn |
| 4 | Carrier Global | 45.43 Bn | 40.06 Bn | 1.94 Bn | 1.34 Bn |
| 5 | Otis Worldwide | 24.39 Bn | 20.99 Bn | 1.14 Bn | 813.00 Mn |
| 6 | James Hardie Industries | 14.50 Bn | 13.23 Bn | 548.70 Mn | 289.90 Mn |
| 7 | Masco | 13.48 Bn | 11.58 Bn | 868.00 Mn | 548.00 Mn |
| 8 | Allegion | 13.12 Bn | 11.83 Bn | 517.50 Mn | 320.60 Mn |
| 9 | Carlisle Companies | 13.11 Bn | 9.46 Bn | 568.40 Mn | 665.30 Mn |
| 10 | Limbach Holdings | 585.32 Mn | 530.87 Mn | 37.29 Mn | 17.53 Mn |
Historic Data
| Date | Value |
|---|---|
| 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 |
| Dec 31, 2020 | 42.15 Mn |
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_KEY
import 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();