Esco Technologies (ESE) EBITDA (2009 - 2026)
Esco Technologies (ESE) posted EBITDA of $110.03 million for fiscal Q3 2026 (quarter ended Jun 30, 2026), up 20.6% from $91.21 million a year earlier and up 8.9% from the prior quarter.
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Analysis
Esco Technologies (ESE) EBITDA (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EBITDA at Esco Technologies was $310.34 million, up 186.5% year-over-year; for FY2025 (ended Sep 30, 2025), it came in at $245.38 million, up 23.7% from FY2024.
- In prior fiscal years, Esco Technologies' EBITDA was $198.36 million in FY2024 (+18.9%), $166.85 million in FY2023, -$370.68 million in FY2022 and -$322.33 million in FY2021.
- The fiscal Q3 2026 figure stands as the highest quarterly EBITDA since fiscal Q4 2011.
- On a year-over-year basis, EBITDA has increased in each of the last three quarters.
- According to Business Quant data, EBITDA for the three prior fiscal quarters was $101.06 million (Q2 2026), $64.85 million (Q1 2026) and $34.4 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 330.06 Bn | 284.06 Bn | 4.68 Bn | -5.87 Bn |
| 2 | Rtx | 252.10 Bn | 225.31 Bn | 5.13 Bn | 3.89 Bn |
| 3 | Boeing | 148.40 Bn | 55.10 Bn | 2.41 Bn | 752.00 Mn |
| 4 | Lockheed Martin | 118.20 Bn | 104.92 Bn | 2.45 Bn | 2.88 Bn |
| 5 | Howmet Aerospace | 92.39 Bn | 87.99 Bn | 951.00 Mn | 795.00 Mn |
| 6 | General Dynamics | 89.92 Bn | 77.03 Bn | 2.18 Bn | 1.68 Bn |
| 7 | Motorola Solutions | 73.84 Bn | 70.20 Bn | 1.68 Bn | 957.00 Mn |
| 8 | Northrop Grumman | 71.73 Bn | 60.97 Bn | 2.12 Bn | 1.46 Bn |
| 9 | Honeywell International | 66.60 Bn | 19.04 Bn | 3.65 Bn | 2.10 Bn |
| 10 | Esco Technologies | 6.88 Bn | 6.51 Bn | 141.52 Mn | 110.03 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 110.03 Mn |
| Mar 31, 2026 | 101.06 Mn |
| Dec 31, 2025 | 64.85 Mn |
| Sep 30, 2025 | 34.40 Mn |
| Jun 30, 2025 | 91.21 Mn |
| Mar 31, 2025 | 64.44 Mn |
| Dec 31, 2024 | 41.03 Mn |
| Sep 30, 2024 | -88.36 Mn |
| Jun 30, 2024 | -87.99 Mn |
| Mar 31, 2024 | -109.02 Mn |
| Dec 31, 2023 | -101.25 Mn |
| Sep 30, 2023 | -44.11 Mn |
| Jun 30, 2023 | -98.98 Mn |
| Mar 31, 2023 | -106.40 Mn |
| Dec 31, 2022 | -95.12 Mn |
| Sep 30, 2022 | -101.80 Mn |
| Jun 30, 2022 | -93.00 Mn |
| Mar 31, 2022 | -94.59 Mn |
| Dec 31, 2021 | -81.30 Mn |
| Sep 30, 2021 | -91.43 Mn |
API Access
Esco Technologies 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=ESE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "ticker": "ESE", "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=ESE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();