Alpha Pro Tech (APT) Change in Inventory (2009 - 2026)
Alpha Pro Tech's Change in Inventory was $10.69 million in Q3 2026, up 856.4% from $1.12 million a year earlier.
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Analysis
Alpha Pro Tech (APT) Change in Inventory (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Alpha Pro Tech's Change in Inventory was $5.86 million through Sep 30, 2026, up 144.1% year-over-year; for FY2025, it was $865,000, down 66.8% from FY2024.
- Change in Inventory shows a five-year compound annual growth rate of -30.8% (FY2020 to FY2025).
- In earlier years, Change in Inventory was $2.6 million in FY2024, -$4.27 million in FY2023, -$572,000 in FY2022 and $8.22 million in FY2021 (+50.9%).
- The Q3 2026 figure marks the highest quarterly Change in Inventory in data going back to Q1 2009.
- Compared with a year earlier, Change in Inventory was higher in three of the last four quarters, with growth averaging 269.2%.
- Per Business Quant data, APT's Change in Inventory in the three quarters before Q3 2026 was -$3.4 million (Q2 2026), -$1.55 million (Q1 2026) and $119,000 (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Inventory (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 | 44.00 Mn |
| 3 | Carrier Global | 44.36 Bn | 39.10 Bn | 1.90 Bn | 68.00 Mn |
| 4 | Comfort Systems Usa | 38.92 Bn | 32.88 Bn | 934.48 Mn | 15.47 Mn |
| 5 | Otis Worldwide | 29.51 Bn | 26.06 Bn | 1.16 Bn | -1.00 Mn |
| 6 | Masco | 16.33 Bn | 14.40 Bn | 720.00 Mn | 17.00 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 | -28.10 Mn |
| 9 | Carlisle Companies | 15.38 Bn | 12.28 Bn | 494.90 Mn | 37.70 Mn |
| 10 | Alpha Pro Tech | 30,861.60 | -78.29 Mn | 6.94 Mn | 10.69 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 10.69 Mn |
| Jun 30, 2026 | -3.40 Mn |
| Mar 31, 2026 | -1.55 Mn |
| Dec 31, 2025 | 119,000.00 |
| Sep 30, 2025 | 1.12 Mn |
| Jun 30, 2025 | -1.20 Mn |
| Mar 31, 2025 | 832,000.00 |
| Dec 31, 2024 | 1.66 Mn |
| Sep 30, 2024 | 292,000.00 |
| Jun 30, 2024 | 16,000.00 |
| Mar 31, 2024 | 638,000.00 |
| Dec 31, 2023 | -1.40 Mn |
| Sep 30, 2023 | -445,000.00 |
| Jun 30, 2023 | -2.12 Mn |
| Mar 31, 2023 | -303,000.00 |
| Dec 31, 2022 | -727,000.00 |
| Sep 30, 2022 | 1.97 Mn |
| Jun 30, 2022 | -726,000.00 |
| Mar 31, 2022 | -1.09 Mn |
| Dec 31, 2021 | 1.78 Mn |
API Access
Alpha Pro Tech Change in 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=change-in-inventory&ticker=APT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-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=change-in-inventory&ticker=APT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();