Alpha Pro Tech (APT) EBITDA (2010 - 2026)
Alpha Pro Tech (APT) recorded EBITDA of $2.28 million in Q2 2026, up 44.8% from $1.58 million a year earlier and up 174.7% from the prior quarter.
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Analysis
Alpha Pro Tech (APT) EBITDA (2010 - 2026) Analysis & Trends
On a TTM basis, Alpha Pro Tech's EBITDA came in at $5.6 million as of Jun 30, 2026, up 37.7% year-over-year; for FY2025, it came in at $4.76 million, up 10.2% from FY2024.
- Annual EBITDA has a five-year compound annual growth rate of -31.8% (FY2020 to FY2025).
- Across earlier years, EBITDA came in at $4.32 million in FY2024 (-14.5%), $5.06 million in FY2023 (-7.4%), $5.46 million in FY2022 (-37.5%) and $8.74 million in FY2021 (-72.9%).
- The Q2 2026 figure is the highest quarterly EBITDA since Q1 2021.
- On a year-over-year basis, EBITDA has increased for four consecutive quarters, with growth averaging 9.0% over the last eight quarters.
- Peak year-over-year performance for EBITDA in the last five years was growth of 94.3% in Q3 2023, against a decline of 90.0% in Q3 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at $830,000 (Q1 2026), $1.19 million (Q4 2025) and $1.3 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 98.79 Bn | 93.53 Bn | 2.26 Bn | 1.33 Bn |
| 2 | Johnson Controls International | 86.60 Bn | 84.36 Bn | 2.47 Bn | 1.15 Bn |
| 3 | Carrier Global | 46.55 Bn | 41.18 Bn | 1.94 Bn | 1.14 Bn |
| 4 | Comfort Systems Usa | 44.62 Bn | 38.57 Bn | 934.48 Mn | 672.34 Mn |
| 5 | Otis Worldwide | 28.78 Bn | 25.39 Bn | 1.14 Bn | 617.00 Mn |
| 6 | James Hardie Industries | 15.40 Bn | 14.47 Bn | 548.70 Mn | 386.50 Mn |
| 7 | Masco | 15.39 Bn | 13.49 Bn | 868.00 Mn | - |
| 8 | Allegion | 15.00 Bn | 13.71 Bn | 517.50 Mn | 290.40 Mn |
| 9 | Carlisle Companies | 14.05 Bn | 10.39 Bn | 568.40 Mn | 401.20 Mn |
| 10 | Alpha Pro Tech | 55.97 Mn | -14.46 Mn | 6.98 Mn | 2.28 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.28 Mn |
| Mar 31, 2026 | 830,000.00 |
| Dec 31, 2025 | 1.19 Mn |
| Sep 30, 2025 | 1.30 Mn |
| Jun 30, 2025 | 1.58 Mn |
| Mar 31, 2025 | 698,000.00 |
| Dec 31, 2024 | 813,000.00 |
| Sep 30, 2024 | 982,000.00 |
| Jun 30, 2024 | 1.96 Mn |
| Mar 31, 2024 | 570,000.00 |
| Dec 31, 2023 | 1.21 Mn |
| Sep 30, 2023 | 1.65 Mn |
| Jun 30, 2023 | 1.53 Mn |
| Mar 31, 2023 | 669,000.00 |
| Dec 31, 2022 | 933,000.00 |
| Sep 30, 2022 | 848,000.00 |
| Jun 30, 2022 | 1.55 Mn |
| Mar 31, 2022 | 2.14 Mn |
| Dec 31, 2021 | 1.05 Mn |
| Sep 30, 2021 | 1.06 Mn |
API Access
Alpha Pro Tech EBITDA 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=ebitda&ticker=APT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=APT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();