Limbach Holdings (LMB) Shares Outstanding (2014 - 2026)
Limbach Holdings (LMB) recorded Weighted Average Shares Outstanding of 11.89 million in Q3 2026, up 2.2% from 11.63 million a year earlier but down 0.3% from the prior quarter.
Limbach Holdings (LMB) Shares Outstanding (2014 - 2026) Analysis & Trends
For FY2025, Limbach Holdings reported Weighted Average Shares Outstanding of 11.58 million, up 2.9% from FY2024.
- Annual Weighted Average Shares Outstanding has increased for ten straight years, with a five-year compound annual growth rate of 8.0% (FY2020 to FY2025).
- Across earlier years, Weighted Average Shares Outstanding came in at 11.24 million in FY2024 (+4.4%), 10.77 million in FY2023 (+3.3%), 10.43 million in FY2022 (+4.1%) and 10.01 million in FY2021 (+27.3%).
- Quarterly Weighted Average Shares Outstanding has ranged from 10.01 million in Q4 2021 to 11.92 million in Q2 2026 over the past five years.
- On a year-over-year basis, Weighted Average Shares Outstanding has increased for 36 consecutive quarters, with growth averaging 3.0% over the last eight quarters.
- The year-over-year growth in Weighted Average Shares Outstanding has ranged between 0.5% (Q1 2023) and 27.3% (Q4 2021) over the last five years.
- Per Business Quant, the preceding three quarters came in at 11.92 million (Q2 2026), 11.76 million (Q1 2026) and 11.58 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 88.43 Bn | 83.04 Bn | 2.38 Bn | 220.00 Mn |
| 2 | Johnson Controls International | 81.95 Bn | 79.68 Bn | 2.47 Bn | 608.00 Mn |
| 3 | Carrier Global | 43.09 Bn | 37.47 Bn | 1.90 Bn | 821.80 Mn |
| 4 | Comfort Systems Usa | 35.64 Bn | 29.60 Bn | 934.48 Mn | 35.12 Mn |
| 5 | Otis Worldwide | 30.11 Bn | 26.50 Bn | 1.16 Bn | 381.00 Mn |
| 6 | James Hardie Industries | 16.21 Bn | 15.14 Bn | 562.40 Mn | 581.00 Mn |
| 7 | Masco | 16.11 Bn | 13.92 Bn | 720.00 Mn | 196.00 Mn |
| 8 | Allegion | 15.72 Bn | 14.35 Bn | 548.20 Mn | 84.80 Mn |
| 9 | Carlisle Companies | 14.80 Bn | 11.71 Bn | 494.90 Mn | 39.40 Mn |
| 10 | Limbach Holdings | 633.28 Mn | 559.54 Mn | 53.84 Mn | 11.89 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 11.89 Mn |
| Jun 30, 2026 | 11.92 Mn |
| Mar 31, 2026 | 11.76 Mn |
| Dec 31, 2025 | 11.58 Mn |
| Sep 30, 2025 | 11.63 Mn |
| Jun 30, 2025 | 11.63 Mn |
| Mar 31, 2025 | 11.42 Mn |
| Dec 31, 2024 | 11.24 Mn |
| Sep 30, 2024 | 11.27 Mn |
| Jun 30, 2024 | 11.27 Mn |
| Mar 31, 2024 | 11.16 Mn |
| Dec 31, 2023 | 10.77 Mn |
| Sep 30, 2023 | 10.96 Mn |
| Jun 30, 2023 | 10.64 Mn |
| Mar 31, 2023 | 10.48 Mn |
| Dec 31, 2022 | 10.43 Mn |
| Sep 30, 2022 | 10.45 Mn |
| Jun 30, 2022 | 10.42 Mn |
| Mar 31, 2022 | 10.42 Mn |
| Dec 31, 2021 | 10.01 Mn |
Limbach Holdings Shares Outstanding 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=shares-outstanding&ticker=LMB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "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=shares-outstanding&ticker=LMB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();