Alpha Pro Tech (APT) Inventory (2009 - 2026)
Alpha Pro Tech (APT) reported Inventory of $17.85 million for Q3 2026, down 24.0% from $23.48 million a year earlier and down 4.3% from the prior quarter.
Powered by 
Analysis
Alpha Pro Tech (APT) Inventory (2009 - 2026) Analysis & Trends
At the end of FY2025, Alpha Pro Tech posted Inventory of $23.6 million, up 3.8% from FY2024.
- Inventory has a five-year compound annual growth rate of 7.1% (FY2020 to FY2025).
- By year, Inventory came in at $22.73 million in FY2024 (+12.9%), $20.13 million in FY2023 (-17.5%), $24.4 million in FY2022 (-2.3%) and $24.97 million in FY2021 (+49.1%).
- The Q3 2026 figure ranks as the lowest quarterly Inventory since Q4 2020.
- Year over year, Inventory has now declined in each of the last three quarters, with growth averaging 0.3% over the last eight quarters.
- The high point for year-over-year Inventory in five years was Q4 2021 (growth of 49.1%); the low point was Q3 2026 (a decline of 24.0%).
- Per Business Quant data, the three quarters before Q3 2026 came in at $18.65 million (Q2 2026), $22.05 million (Q1 2026) and $23.6 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 91.50 Bn | 86.14 Bn | 2.38 Bn | 2.60 Bn |
| 2 | Johnson Controls International | 83.63 Bn | 81.11 Bn | 2.71 Bn | 2.00 Bn |
| 3 | Carrier Global | 44.36 Bn | 39.10 Bn | 1.90 Bn | 2.84 Bn |
| 4 | Comfort Systems Usa | 38.92 Bn | 32.88 Bn | 934.48 Mn | 120.92 Mn |
| 5 | Otis Worldwide | 29.51 Bn | 26.06 Bn | 1.16 Bn | 689.00 Mn |
| 6 | Masco | 16.33 Bn | 14.40 Bn | 720.00 Mn | 1.05 Bn |
| 7 | Allegion | 16.19 Bn | 14.81 Bn | 548.20 Mn | 539.40 Mn |
| 8 | James Hardie Industries | 16.17 Bn | 15.36 Bn | 562.40 Mn | 511.70 Mn |
| 9 | Carlisle Companies | 15.38 Bn | 12.28 Bn | 494.90 Mn | 529.30 Mn |
| 10 | Alpha Pro Tech | 30,861.60 | -78.29 Mn | 6.94 Mn | 17.85 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 17.85 Mn |
| Jun 30, 2026 | 18.65 Mn |
| Mar 31, 2026 | 22.05 Mn |
| Dec 31, 2025 | 23.60 Mn |
| Sep 30, 2025 | 23.48 Mn |
| Jun 30, 2025 | 22.36 Mn |
| Mar 31, 2025 | 23.57 Mn |
| Dec 31, 2024 | 22.73 Mn |
| Sep 30, 2024 | 21.08 Mn |
| Jun 30, 2024 | 20.79 Mn |
| Mar 31, 2024 | 20.77 Mn |
| Dec 31, 2023 | 20.13 Mn |
| Sep 30, 2023 | 21.53 Mn |
| Jun 30, 2023 | 21.97 Mn |
| Mar 31, 2023 | 24.09 Mn |
| Dec 31, 2022 | 24.40 Mn |
| Sep 30, 2022 | 25.12 Mn |
| Jun 30, 2022 | 23.16 Mn |
| Mar 31, 2022 | 23.88 Mn |
| Dec 31, 2021 | 24.97 Mn |
API Access
Alpha Pro Tech Inventory 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=inventory&ticker=APT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "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=inventory&ticker=APT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();