Esco Technologies (ESE) Enterprise Value (2009 - 2026)
Esco Technologies (ESE) reported Enterprise Value of $9 billion for fiscal Q3 2026 (quarter ended Jun 30, 2026), up 84.5% from $4.88 billion a year earlier and up 25.0% from the prior quarter.
Esco Technologies (ESE) Enterprise Value (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Esco Technologies' Enterprise Value came in at $8.7 billion, up 85.8% year-over-year; for FY2025 (ended Sep 30, 2025), it came in at $5.36 billion, up 64.3% from FY2024.
- Enterprise Value has increased for three consecutive fiscal years, with a five-year compound annual growth rate of 21.2% (FY2020 to FY2025).
- By fiscal year, Enterprise Value came in at $3.26 billion in FY2024 (+22.9%), $2.65 billion in FY2023 (+47.1%), $1.8 billion in FY2022 (-7.7%) and $1.95 billion in FY2021 (-4.5%).
- The fiscal Q3 2026 figure ranks as the highest quarterly Enterprise Value in data going back to fiscal Q4 2009.
- Year over year, Enterprise Value has now increased in each of the last 14 quarters, with growth averaging 55.6% over the last eight quarters.
- The high point for year-over-year Enterprise Value in five years was fiscal Q3 2025 (growth of 84.6%); the low point was fiscal Q2 2022 (a decline of 37.2%).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $7.2 billion (Q2 2026), $4.96 billion (Q1 2026) and $5.36 billion (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | General Electric | 305.96 Bn | 264.47 Bn | 5.02 Bn |
| 2 | Rtx | 258.78 Bn | 227.05 Bn | 5.81 Bn |
| 3 | Boeing | 152.08 Bn | 58.77 Bn | 2.41 Bn |
| 4 | Lockheed Martin | 127.01 Bn | 113.73 Bn | 2.45 Bn |
| 5 | General Dynamics | 93.41 Bn | 80.52 Bn | 2.18 Bn |
| 6 | Howmet Aerospace | 83.06 Bn | 78.66 Bn | 951.00 Mn |
| 7 | Motorola Solutions | 77.59 Bn | 73.94 Bn | 1.68 Bn |
| 8 | Northrop Grumman | 76.72 Bn | 64.17 Bn | 2.35 Bn |
| 9 | Honeywell International | 68.15 Bn | 20.27 Bn | 3.65 Bn |
| 10 | Esco Technologies | 6.40 Bn | 6.03 Bn | 141.52 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 9.00 Bn |
| Mar 31, 2026 | 7.20 Bn |
| Dec 31, 2025 | 4.96 Bn |
| Sep 30, 2025 | 5.36 Bn |
| Jun 30, 2025 | 4.88 Bn |
| Mar 31, 2025 | 4.05 Bn |
| Dec 31, 2024 | 3.37 Bn |
| Sep 30, 2024 | 3.26 Bn |
| Jun 30, 2024 | 2.64 Bn |
| Mar 31, 2024 | 2.70 Bn |
| Dec 31, 2023 | 2.97 Bn |
| Sep 30, 2023 | 2.65 Bn |
| Jun 30, 2023 | 2.62 Bn |
| Mar 31, 2023 | 2.41 Bn |
| Dec 31, 2022 | 2.21 Bn |
| Sep 30, 2022 | 1.80 Bn |
| Jun 30, 2022 | 1.71 Bn |
| Mar 31, 2022 | 1.75 Bn |
| Dec 31, 2021 | 2.28 Bn |
| Sep 30, 2021 | 1.95 Bn |
Esco Technologies Enterprise Value 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=enterprise-value&ticker=ESE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=ESE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();