Alpha Pro Tech (APT) Accumulated Expenses (2009 - 2026)
Alpha Pro Tech (APT) posted Accumulated Expenses of $3.53 million for Q3 2026, up 256.7% from $989,000 a year earlier and up 294.6% from the prior quarter.
Powered by 
Analysis
Alpha Pro Tech (APT) Accumulated Expenses (2009 - 2026) Analysis & Trends
At the end of FY2025, Alpha Pro Tech's Accumulated Expenses came in at $1.09 million, up 14.9% from FY2024.
- Annual Accumulated Expenses shows a five-year compound annual growth rate of -17.2% (FY2020 to FY2025).
- In prior years, Alpha Pro Tech's Accumulated Expenses was $947,000 in FY2024 (-14.1%), $1.1 million in FY2023 (+32.4%), $833,000 in FY2022 (-33.4%) and $1.25 million in FY2021 (-55.2%).
- The Q3 2026 figure stands as the highest quarterly Accumulated Expenses in data going back to Q1 2009.
- On a year-over-year basis, Accumulated Expenses has increased in each of the last seven quarters, with growth averaging 44.8% over the last eight quarters.
- The strongest year-over-year quarter for Accumulated Expenses in the past five years was Q3 2026, with growth of 256.7%; the weakest was Q4 2021, with a decline of 55.2%.
- According to Business Quant data, Accumulated Expenses for the three prior quarters was $894,000 (Q2 2026), $714,000 (Q1 2026) and $1.09 million (Q4 2025).
Peer Set
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
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 3.53 Mn |
| Jun 30, 2026 | 894,000.00 |
| Mar 31, 2026 | 714,000.00 |
| Dec 31, 2025 | 1.09 Mn |
| Sep 30, 2025 | 989,000.00 |
| Jun 30, 2025 | 694,000.00 |
| Mar 31, 2025 | 502,000.00 |
| Dec 31, 2024 | 947,000.00 |
| Sep 30, 2024 | 901,000.00 |
| Jun 30, 2024 | 639,000.00 |
| Mar 31, 2024 | 449,000.00 |
| Dec 31, 2023 | 1.10 Mn |
| Sep 30, 2023 | 885,000.00 |
| Jun 30, 2023 | 494,000.00 |
| Mar 31, 2023 | 387,000.00 |
| Dec 31, 2022 | 833,000.00 |
| Sep 30, 2022 | 747,000.00 |
| Jun 30, 2022 | 797,000.00 |
| Mar 31, 2022 | 542,000.00 |
| Dec 31, 2021 | 1.25 Mn |
API Access
Alpha Pro Tech Accumulated Expenses 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=accumulated-expenses&ticker=APT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=APT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();