Esco Technologies (ESE) Revenue (2009 - 2026)
Esco Technologies' Revenue came in at $339.03 million for fiscal Q3 2026 (quarter ended Jun 30, 2026), up 14.4% from $296.34 million a year earlier and up 9.6% from the prior quarter.
Esco Technologies (ESE) Revenue (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Esco Technologies reported Revenue of $1.29 billion, up 27.0% year-over-year; for FY2025 (ended Sep 30, 2025), it was $1.1 billion, up 19.2% from FY2024.
- Revenue carries a five-year compound annual growth rate of 8.4% (FY2020 to FY2025).
- Going back by fiscal year, Revenue was $919.13 million in FY2024 (+7.4%), $855.79 million in FY2023 (-0.2%), $857.5 million in FY2022 (+19.9%) and $715.44 million in FY2021 (-2.1%).
- The five-year range for quarterly Revenue is $172.41 million (fiscal Q4 2023) to $352.67 million (fiscal Q4 2025).
- Year-over-year, Revenue has increased for five consecutive quarters, with growth averaging 23.6% over the last eight quarters.
- The fastest year-over-year change in Revenue over five years came in fiscal Q4 2024 (growth of 58.6%), and the weakest in fiscal Q4 2023 (a decline of 32.8%).
- Business Quant data shows ESE's Revenue at $309.34 million (Q2 2026), $289.66 million (Q1 2026) and $352.67 million (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 330.06 Bn | 284.06 Bn | 4.68 Bn | 13.35 Bn |
| 2 | Rtx | 252.10 Bn | 225.31 Bn | 5.13 Bn | 24.71 Bn |
| 3 | Boeing | 148.40 Bn | 55.10 Bn | 2.41 Bn | 24.56 Bn |
| 4 | Lockheed Martin | 118.20 Bn | 104.92 Bn | 2.45 Bn | 20.06 Bn |
| 5 | Howmet Aerospace | 92.39 Bn | 87.99 Bn | 951.00 Mn | 2.55 Bn |
| 6 | General Dynamics | 89.92 Bn | 77.03 Bn | 2.18 Bn | 14.09 Bn |
| 7 | Motorola Solutions | 73.84 Bn | 70.20 Bn | 1.68 Bn | 3.13 Bn |
| 8 | Northrop Grumman | 71.73 Bn | 60.97 Bn | 2.12 Bn | 10.88 Bn |
| 9 | Honeywell International | 66.60 Bn | 19.04 Bn | 3.65 Bn | 9.72 Bn |
| 10 | Esco Technologies | 6.88 Bn | 6.51 Bn | 141.52 Mn | 339.03 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 339.03 Mn |
| Mar 31, 2026 | 309.34 Mn |
| Dec 31, 2025 | 289.66 Mn |
| Sep 30, 2025 | 352.67 Mn |
| Jun 30, 2025 | 296.34 Mn |
| Mar 31, 2025 | 231.78 Mn |
| Dec 31, 2024 | 214.59 Mn |
| Sep 30, 2024 | 273.51 Mn |
| Jun 30, 2024 | 233.57 Mn |
| Mar 31, 2024 | 249.13 Mn |
| Dec 31, 2023 | 218.31 Mn |
| Sep 30, 2023 | 172.41 Mn |
| Jun 30, 2023 | 248.75 Mn |
| Mar 31, 2023 | 229.14 Mn |
| Dec 31, 2022 | 205.50 Mn |
| Sep 30, 2022 | 256.50 Mn |
| Jun 30, 2022 | 219.07 Mn |
| Mar 31, 2022 | 204.93 Mn |
| Dec 31, 2021 | 177.01 Mn |
| Sep 30, 2021 | 205.48 Mn |
Esco Technologies Revenue 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=revenue&ticker=ESE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=ESE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();