Limbach Holdings (LMB) Tax Provisions (2016 - 2026)
Limbach Holdings' Tax Provisions came in at $4.34 million for Q3 2026, up 15.2% from $3.77 million a year earlier and up 136.3% from the prior quarter.
Limbach Holdings (LMB) Tax Provisions (2016 - 2026) Analysis & Trends
Over the trailing twelve months to Sep 30, 2026, Limbach Holdings reported Tax Provisions of $7.54 million, down 7.8% year-over-year; for FY2025, it was $9.57 million, up 5.2% from FY2024.
- Tax Provisions has increased in each of the last five years, with a five-year compound annual growth rate of 51.9% (FY2020 to FY2025).
- Going back by year, Tax Provisions was $9.09 million in FY2024 (+23.8%), $7.35 million in FY2023 (+161.5%), $2.81 million in FY2022 (+1.7%) and $2.76 million in FY2021 (+133.8%).
- The five-year range for quarterly Tax Provisions is -$3.66 million (Q1 2026) to $5.02 million (Q4 2025).
- Year-over-year, Tax Provisions increased in five of the last six quarters, with growth averaging 23.0%.
- The fastest year-over-year change in Tax Provisions over five years came in Q2 2023 (growth of 754.4%), and the weakest in Q2 2026 (a decline of 38.8%).
- Business Quant data shows LMB's Tax Provisions at $1.84 million (Q2 2026), -$3.66 million (Q1 2026) and $5.02 million (Q4 2025) in the three quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 88.43 Bn | 83.04 Bn | 2.38 Bn | 219.90 Mn |
| 2 | Johnson Controls International | 81.95 Bn | 79.68 Bn | 2.47 Bn | 165.00 Mn |
| 3 | Carrier Global | 43.09 Bn | 37.47 Bn | 1.90 Bn | 177.00 Mn |
| 4 | Comfort Systems Usa | 35.64 Bn | 29.60 Bn | 934.48 Mn | 146.01 Mn |
| 5 | Otis Worldwide | 30.11 Bn | 26.50 Bn | 1.16 Bn | 126.00 Mn |
| 6 | James Hardie Industries | 16.21 Bn | 15.14 Bn | 562.40 Mn | 77.60 Mn |
| 7 | Masco | 16.11 Bn | 13.92 Bn | 720.00 Mn | 82.00 Mn |
| 8 | Allegion | 15.72 Bn | 14.35 Bn | 548.20 Mn | 46.90 Mn |
| 9 | Carlisle Companies | 14.80 Bn | 11.71 Bn | 494.90 Mn | 62.50 Mn |
| 10 | Limbach Holdings | 633.28 Mn | 559.54 Mn | 53.84 Mn | 4.34 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 4.34 Mn |
| Jun 30, 2026 | 1.84 Mn |
| Mar 31, 2026 | -3.66 Mn |
| Dec 31, 2025 | 5.02 Mn |
| Sep 30, 2025 | 3.77 Mn |
| Jun 30, 2025 | 3.00 Mn |
| Mar 31, 2025 | -2.22 Mn |
| Dec 31, 2024 | 3.63 Mn |
| Sep 30, 2024 | 3.39 Mn |
| Jun 30, 2024 | 2.40 Mn |
| Mar 31, 2024 | -327,000.00 |
| Dec 31, 2023 | 1.94 Mn |
| Sep 30, 2023 | 2.76 Mn |
| Jun 30, 2023 | 2.03 Mn |
| Mar 31, 2023 | 622,000.00 |
| Dec 31, 2022 | 1.53 Mn |
| Sep 30, 2022 | 1.65 Mn |
| Jun 30, 2022 | 237,000.00 |
| Mar 31, 2022 | -616,000.00 |
| Dec 31, 2021 | 1.92 Mn |
Limbach Holdings Tax Provisions 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=tax-provisions&ticker=LMB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=LMB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();