Alpha Pro Tech (APT) Enterprise Value (2009 - 2026)
Alpha Pro Tech (APT) recorded Enterprise Value of -$25.52 million in Q3 2026, compared with $31.61 million a year earlier.
Alpha Pro Tech (APT) Enterprise Value (2009 - 2026) Analysis & Trends
On a TTM basis, Alpha Pro Tech's Enterprise Value came in at -$78.29 million as of Sep 30, 2026; for FY2025, it came in at $28 million, down 27.4% from FY2024.
- Annual Enterprise Value has a five-year compound annual growth rate of -26.0% (FY2020 to FY2025).
- Across earlier years, Enterprise Value came in at $38.59 million in FY2024 (-3.6%), $40.01 million in FY2023 (+21.8%), $32.86 million in FY2022 (-47.0%) and $61.99 million in FY2021 (-50.9%).
- The Q3 2026 figure is the lowest quarterly Enterprise Value in data going back to Q1 2009.
- On a year-over-year basis, Enterprise Value rose in 1 of the last seven quarters, with an average decline of 18.0%.
- Peak year-over-year performance for Enterprise Value in the last five years was growth of 43.1% in Q1 2024, against a decline of 68.3% in Q1 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $37.98 million (Q2 2026), $28.1 million (Q1 2026) and $28 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Trane Technologies | 91.50 Bn | 86.14 Bn | 2.38 Bn |
| 2 | Johnson Controls International | 83.63 Bn | 81.11 Bn | 2.71 Bn |
| 3 | Carrier Global | 44.36 Bn | 39.10 Bn | 1.90 Bn |
| 4 | Comfort Systems Usa | 38.92 Bn | 32.88 Bn | 934.48 Mn |
| 5 | Otis Worldwide | 29.51 Bn | 26.06 Bn | 1.16 Bn |
| 6 | Masco | 16.33 Bn | 14.40 Bn | 720.00 Mn |
| 7 | Allegion | 16.19 Bn | 14.81 Bn | 548.20 Mn |
| 8 | James Hardie Industries | 16.17 Bn | 15.36 Bn | 562.40 Mn |
| 9 | Carlisle Companies | 15.38 Bn | 12.28 Bn | 494.90 Mn |
| 10 | Alpha Pro Tech | 30,861.60 | -78.29 Mn | 6.94 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | -25.52 Mn |
| Jun 30, 2026 | 37.98 Mn |
| Mar 31, 2026 | 28.10 Mn |
| Dec 31, 2025 | 28.00 Mn |
| Sep 30, 2025 | 31.61 Mn |
| Jun 30, 2025 | 34.38 Mn |
| Mar 31, 2025 | 39.63 Mn |
| Dec 31, 2024 | 38.59 Mn |
| Sep 30, 2024 | 44.04 Mn |
| Jun 30, 2024 | 45.00 Mn |
| Mar 31, 2024 | 52.46 Mn |
| Dec 31, 2023 | 40.01 Mn |
| Sep 30, 2023 | 32.34 Mn |
| Jun 30, 2023 | 31.92 Mn |
| Mar 31, 2023 | 36.66 Mn |
| Dec 31, 2022 | 32.86 Mn |
| Sep 30, 2022 | 35.02 Mn |
| Jun 30, 2022 | 41.43 Mn |
| Mar 31, 2022 | 40.13 Mn |
| Dec 31, 2021 | 61.99 Mn |
Alpha Pro Tech Enterprise Value 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=enterprise-value&ticker=APT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=APT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();