Powell Industries (POWL) EBITDA (2010 - 2026)
Powell Industries' EBITDA came in at $66.24 million for fiscal Q3 2026 (quarter ended Jun 30, 2026), up 7.1% from $61.87 million a year earlier and up 10.8% from the prior quarter.
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Analysis
Powell Industries (POWL) EBITDA (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Powell Industries reported EBITDA of $236.22 million, up 8.5% year-over-year; for FY2025 (ended Sep 30, 2025), it came in at $225.13 million, up 21.3% from FY2024.
- EBITDA has increased in each of the last four fiscal years, with a five-year compound annual growth rate of 50.0% (FY2020 to FY2025).
- Going back by fiscal year, EBITDA was $185.64 million in FY2024 (+161.0%), $71.13 million in FY2023 (+328.9%), $16.58 million in FY2022 (+46.0%) and $11.35 million in FY2021 (-61.7%).
- The fiscal Q3 2026 figure represents the highest quarterly EBITDA in data going back to fiscal Q4 2010.
- Year-over-year, EBITDA increased in seven of the last eight quarters, with growth averaging 26.0%.
- The fastest year-over-year change in EBITDA over five years came in fiscal Q1 2024 (growth of 753.1%), and the weakest in fiscal Q4 2021 (a decline of 5.2%).
- Business Quant data shows POWL's EBITDA at $59.76 million (Q2 2026), $44.92 million (Q1 2026) and $65.3 million (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 376.87 Bn | 348.57 Bn | 7.76 Bn | 4.91 Bn |
| 2 | Amphenol | 208.65 Bn | 203.35 Bn | 3.55 Bn | 2.93 Bn |
| 3 | Deere | 185.97 Bn | 194.73 Bn | 4.66 Bn | 2.46 Bn |
| 4 | Eaton | 167.50 Bn | 164.73 Bn | 2.86 Bn | 1.79 Bn |
| 5 | Parker-Hannifin | 122.25 Bn | 120.39 Bn | 2.25 Bn | 1.61 Bn |
| 6 | Vertiv Holdings | 93.95 Bn | 84.57 Bn | 1.23 Bn | 753.70 Mn |
| 7 | Emerson Electric | 88.90 Bn | 81.65 Bn | 2.66 Bn | 1.69 Bn |
| 8 | 3M | 87.39 Bn | 68.85 Bn | 2.68 Bn | 1.32 Bn |
| 9 | Illinois Tool Works | 78.00 Bn | 74.56 Bn | 1.90 Bn | 1.25 Bn |
| 10 | Powell Industries | 6.82 Bn | 4.67 Bn | 95.30 Mn | 66.24 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 66.24 Mn |
| Mar 31, 2026 | 59.76 Mn |
| Dec 31, 2025 | 44.92 Mn |
| Sep 30, 2025 | 65.30 Mn |
| Jun 30, 2025 | 61.87 Mn |
| Mar 31, 2025 | 60.64 Mn |
| Dec 31, 2024 | 37.33 Mn |
| Sep 30, 2024 | 57.94 Mn |
| Jun 30, 2024 | 59.00 Mn |
| Mar 31, 2024 | 41.21 Mn |
| Dec 31, 2023 | 27.52 Mn |
| Sep 30, 2023 | 31.90 Mn |
| Jun 30, 2023 | 23.74 Mn |
| Mar 31, 2023 | 12.25 Mn |
| Dec 31, 2022 | 3.23 Mn |
| Sep 30, 2022 | 12.51 Mn |
| Jun 30, 2022 | 3.22 Mn |
| Mar 31, 2022 | 2.72 Mn |
| Dec 31, 2021 | -1.88 Mn |
| Sep 30, 2021 | 6.30 Mn |
API Access
Powell Industries 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=POWL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "ticker": "POWL", "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=POWL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();