Alpha Pro Tech (APT) Shares Outstanding (2009 - 2026)
Alpha Pro Tech (APT) recorded Weighted Average Shares Outstanding of 5,010 in Q3 2026, down 100.0% from 10.35 million a year earlier and down 100.0% from the prior quarter.
Alpha Pro Tech (APT) Shares Outstanding (2009 - 2026) Analysis & Trends
For FY2025, Alpha Pro Tech reported Weighted Average Shares Outstanding of 10.44 million, down 6.2% from FY2024.
- Annual Weighted Average Shares Outstanding has declined for five straight years, with a five-year compound annual growth rate of -4.9% (FY2020 to FY2025).
- Across earlier years, Weighted Average Shares Outstanding came in at 11.14 million in FY2024 (-6.1%), 11.86 million in FY2023 (-6.7%), 12.71 million in FY2022 (-3.9%) and 13.23 million in FY2021 (-1.7%).
- The Q3 2026 figure is the lowest quarterly Weighted Average Shares Outstanding in data going back to Q1 2009.
- On a year-over-year basis, Weighted Average Shares Outstanding has declined for 22 consecutive quarters, with an average decline of 17.3% over the last eight quarters.
- The year-over-year decline in Weighted Average Shares Outstanding has ranged between 1.7% (Q4 2021) and 100.0% (Q3 2026) over the last five years.
- Per Business Quant, the preceding three quarters came in at 10.12 million (Q2 2026), 10.13 million (Q1 2026) and 10.44 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 91.50 Bn | 86.14 Bn | 2.38 Bn | 220.00 Mn |
| 2 | Johnson Controls International | 83.63 Bn | 81.11 Bn | 2.71 Bn | 609.00 Mn |
| 3 | Carrier Global | 44.36 Bn | 39.10 Bn | 1.90 Bn | 821.80 Mn |
| 4 | Comfort Systems Usa | 38.92 Bn | 32.88 Bn | 934.48 Mn | 35.12 Mn |
| 5 | Otis Worldwide | 29.51 Bn | 26.06 Bn | 1.16 Bn | 381.00 Mn |
| 6 | Masco | 16.33 Bn | 14.40 Bn | 720.00 Mn | 196.00 Mn |
| 7 | Allegion | 16.19 Bn | 14.81 Bn | 548.20 Mn | 84.80 Mn |
| 8 | James Hardie Industries | 16.17 Bn | 15.36 Bn | 562.40 Mn | 581.00 Mn |
| 9 | Carlisle Companies | 15.38 Bn | 12.28 Bn | 494.90 Mn | 39.40 Mn |
| 10 | Alpha Pro Tech | 30,861.60 | -78.29 Mn | 6.94 Mn | 5,010.00 |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 5,010.00 |
| Jun 30, 2026 | 10.12 Mn |
| Mar 31, 2026 | 10.13 Mn |
| Dec 31, 2025 | 10.44 Mn |
| Sep 30, 2025 | 10.35 Mn |
| Jun 30, 2025 | 10.50 Mn |
| Mar 31, 2025 | 10.72 Mn |
| Dec 31, 2024 | 11.14 Mn |
| Sep 30, 2024 | 11.08 Mn |
| Jun 30, 2024 | 11.14 Mn |
| Mar 31, 2024 | 11.29 Mn |
| Dec 31, 2023 | 11.86 Mn |
| Sep 30, 2023 | 11.78 Mn |
| Jun 30, 2023 | 12.00 Mn |
| Mar 31, 2023 | 12.15 Mn |
| Dec 31, 2022 | 12.71 Mn |
| Sep 30, 2022 | 12.62 Mn |
| Jun 30, 2022 | 12.83 Mn |
| Mar 31, 2022 | 13.06 Mn |
| Dec 31, 2021 | 13.23 Mn |
Alpha Pro Tech 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=APT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "ticker": "APT", "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=APT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();