Esco Technologies (ESE) Assets (2009 - 2026)
Esco Technologies (ESE) posted Assets of $2.42 billion for fiscal Q3 2026 (quarter ended Jun 30, 2026), up 0.2% from $2.42 billion a year earlier and up 0.6% from the prior quarter.
Esco Technologies (ESE) Assets (2009 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), Esco Technologies' Assets came in at $2.41 billion, up 31.1% from FY2024.
- Annual Assets has increased for five consecutive fiscal years, with a five-year compound annual growth rate of 12.0% (FY2020 to FY2025).
- In prior fiscal years, Esco Technologies' Assets was $1.84 billion in FY2024 (+9.2%), $1.68 billion in FY2023 (+1.7%), $1.65 billion in FY2022 (+4.9%) and $1.58 billion in FY2021 (+15.1%).
- The fiscal Q3 2026 figure stands as the highest quarterly Assets in data going back to fiscal Q4 2009.
- On a year-over-year basis, Assets has increased in each of the last five quarters, with growth averaging 18.2% over the last eight quarters.
- The strongest year-over-year quarter for Assets in the past five years was fiscal Q2 2026, with growth of 41.8%; the weakest was fiscal Q2 2025, with a decline of 4.9%.
- According to Business Quant data, Assets for the three prior fiscal quarters was $2.41 billion (Q2 2026), $2.4 billion (Q1 2026) and $2.41 billion (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 324.09 Bn | 278.09 Bn | 4.68 Bn | 127.67 Bn |
| 2 | Rtx | 250.22 Bn | 223.44 Bn | 5.13 Bn | 173.97 Bn |
| 3 | Boeing | 147.08 Bn | 53.78 Bn | 2.41 Bn | 165.87 Bn |
| 4 | Lockheed Martin | 117.51 Bn | 104.24 Bn | 2.45 Bn | 62.45 Bn |
| 5 | Howmet Aerospace | 90.46 Bn | 86.07 Bn | 951.00 Mn | 13.25 Bn |
| 6 | General Dynamics | 89.77 Bn | 76.88 Bn | 2.18 Bn | 60.16 Bn |
| 7 | Motorola Solutions | 73.88 Bn | 70.24 Bn | 1.68 Bn | 19.24 Bn |
| 8 | Northrop Grumman | 68.68 Bn | 57.92 Bn | 2.12 Bn | 50.76 Bn |
| 9 | Honeywell International | 66.86 Bn | 19.30 Bn | 3.65 Bn | 77.34 Bn |
| 10 | Esco Technologies | 6.87 Bn | 6.50 Bn | 141.52 Mn | 2.42 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.42 Bn |
| Mar 31, 2026 | 2.41 Bn |
| Dec 31, 2025 | 2.40 Bn |
| Sep 30, 2025 | 2.41 Bn |
| Jun 30, 2025 | 2.42 Bn |
| Mar 31, 2025 | 1.70 Bn |
| Dec 31, 2024 | 1.80 Bn |
| Sep 30, 2024 | 1.84 Bn |
| Jun 30, 2024 | 1.81 Bn |
| Mar 31, 2024 | 1.78 Bn |
| Dec 31, 2023 | 1.77 Bn |
| Sep 30, 2023 | 1.68 Bn |
| Jun 30, 2023 | 1.70 Bn |
| Mar 31, 2023 | 1.68 Bn |
| Dec 31, 2022 | 1.64 Bn |
| Sep 30, 2022 | 1.65 Bn |
| Jun 30, 2022 | 1.65 Bn |
| Mar 31, 2022 | 1.63 Bn |
| Dec 31, 2021 | 1.60 Bn |
| Sep 30, 2021 | 1.58 Bn |
Esco Technologies Assets 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=assets&ticker=ESE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "assets", "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=assets&ticker=ESE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();