Alpha Pro Tech (APT) Total Liabilities (2009 - 2026)
Alpha Pro Tech's Total Liabilities came in at $13.73 million for Q3 2026, up 21.2% from $11.33 million a year earlier and up 31.7% from the prior quarter.
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Analysis
Alpha Pro Tech (APT) Total Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Alpha Pro Tech's Total Liabilities was $11.65 million, up 1.3% from FY2024.
- Total Liabilities has increased in each of the last three years, with a five-year compound annual growth rate of 3.3% (FY2020 to FY2025).
- Going back by year, Total Liabilities was $11.51 million in FY2024 (+59.9%), $7.2 million in FY2023 (+77.9%), $4.05 million in FY2022 (-23.2%) and $5.27 million in FY2021 (-46.8%).
- The Q3 2026 figure represents the highest quarterly Total Liabilities since Q2 2020.
- Year-over-year, Total Liabilities increased in five of the last eight quarters, with growth averaging 8.9%.
- The fastest year-over-year change in Total Liabilities over five years came in Q1 2024 (growth of 260.7%), and the weakest in Q4 2021 (a decline of 46.8%).
- Business Quant data shows APT's Total Liabilities at $10.43 million (Q2 2026), $9.97 million (Q1 2026) and $11.65 million (Q4 2025) in the three quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 91.50 Bn | 86.14 Bn | 2.38 Bn | 14.76 Bn |
| 2 | Johnson Controls International | 83.63 Bn | 81.11 Bn | 2.71 Bn | 26.50 Bn |
| 3 | Carrier Global | 44.36 Bn | 39.10 Bn | 1.90 Bn | 23.17 Bn |
| 4 | Comfort Systems Usa | 38.92 Bn | 32.88 Bn | 934.48 Mn | 6.47 Bn |
| 5 | Otis Worldwide | 29.51 Bn | 26.06 Bn | 1.16 Bn | 16.74 Bn |
| 6 | Masco | 16.33 Bn | 14.40 Bn | 720.00 Mn | 5.79 Bn |
| 7 | Allegion | 16.19 Bn | 14.81 Bn | 548.20 Mn | 3.29 Bn |
| 8 | James Hardie Industries | 16.17 Bn | 15.36 Bn | 562.40 Mn | 6.67 Bn |
| 9 | Carlisle Companies | 15.38 Bn | 12.28 Bn | 494.90 Mn | 4.59 Bn |
| 10 | Alpha Pro Tech | 30,861.60 | -78.29 Mn | 6.94 Mn | 13.73 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 13.73 Mn |
| Jun 30, 2026 | 10.43 Mn |
| Mar 31, 2026 | 9.97 Mn |
| Dec 31, 2025 | 11.65 Mn |
| Sep 30, 2025 | 11.33 Mn |
| Jun 30, 2025 | 10.92 Mn |
| Mar 31, 2025 | 10.45 Mn |
| Dec 31, 2024 | 11.51 Mn |
| Sep 30, 2024 | 11.26 Mn |
| Jun 30, 2024 | 10.63 Mn |
| Mar 31, 2024 | 11.07 Mn |
| Dec 31, 2023 | 7.20 Mn |
| Sep 30, 2023 | 3.22 Mn |
| Jun 30, 2023 | 3.22 Mn |
| Mar 31, 2023 | 3.07 Mn |
| Dec 31, 2022 | 4.05 Mn |
| Sep 30, 2022 | 3.82 Mn |
| Jun 30, 2022 | 4.75 Mn |
| Mar 31, 2022 | 4.33 Mn |
| Dec 31, 2021 | 5.27 Mn |
API Access
Alpha Pro Tech Total Liabilities 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=total-liabilities&ticker=APT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=APT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();