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.
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 16.5% year-over-year; for FY2025 (ended Sep 30, 2025), it came in at $245.38 million, up 23.7% from FY2024.
- Annual EBITDA has increased for five consecutive fiscal years, with a five-year compound annual growth rate of 25.8% (FY2020 to FY2025).
- In prior fiscal years, Esco Technologies' EBITDA was $198.36 million in FY2024 (+18.9%), $166.85 million in FY2023 (+4.5%), $159.68 million in FY2022 (+27.8%) and $124.92 million in FY2021 (+60.6%).
- 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, with growth averaging 34.2% over the last eight quarters.
- The strongest year-over-year quarter for EBITDA in the past five years was fiscal Q3 2025, with growth of 79.8%; the weakest was fiscal Q4 2025, with a decline of 50.7%.
- 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 Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Space Exploration Technologies | 1,722.87 Bn | 1,722.87 Bn | 9.10 Bn | 6.44 Bn |
| 2 | General Electric | 345.20 Bn | 303.72 Bn | 5.02 Bn | -6.39 Bn |
| 3 | Rtx | 269.97 Bn | 238.24 Bn | 5.81 Bn | 4.41 Bn |
| 4 | Lockheed Martin | 137.94 Bn | 122.17 Bn | 2.44 Bn | 2.87 Bn |
| 5 | Boeing | 136.62 Bn | 45.58 Bn | 2.17 Bn | 938.00 Mn |
| 6 | General Dynamics | 98.71 Bn | 83.95 Bn | 2.25 Bn | 1.75 Bn |
| 7 | Howmet Aerospace | 88.13 Bn | 83.88 Bn | 1.00 Bn | 870.00 Mn |
| 8 | Motorola Solutions | 86.35 Bn | 82.81 Bn | 1.77 Bn | 927.00 Mn |
| 9 | Northrop Grumman | 77.53 Bn | 64.99 Bn | 2.35 Bn | 1.65 Bn |
| 10 | Esco Technologies | 6.27 Bn | 5.90 Bn | 141.52 Mn | 110.03 Mn |
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 | 69.79 Mn |
| Jun 30, 2024 | 50.72 Mn |
| Mar 31, 2024 | 46.55 Mn |
| Dec 31, 2023 | 35.57 Mn |
| Sep 30, 2023 | 44.97 Mn |
| Jun 30, 2023 | 50.79 Mn |
| Mar 31, 2023 | 38.16 Mn |
| Dec 31, 2022 | 32.92 Mn |
| Sep 30, 2022 | 54.34 Mn |
| Jun 30, 2022 | 42.79 Mn |
| Mar 31, 2022 | 33.79 Mn |
| Dec 31, 2021 | 27.01 Mn |
| Sep 30, 2021 | 36.83 Mn |
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_KEY
import 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();