Esco Technologies (ESE) Other Accumulated Expenses (2009 - 2026)
Esco Technologies (ESE) reported Other Accumulated Expenses of $61.26 million for fiscal Q3 2026 (quarter ended Jun 30, 2026), down 6.5% from $65.52 million a year earlier but up 2.6% from the prior quarter.
Esco Technologies (ESE) Other Accumulated Expenses (2009 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), Esco Technologies posted Other Accumulated Expenses of $59.72 million, up 20.5% from FY2024.
- Other Accumulated Expenses has a five-year compound annual growth rate of 3.7% (FY2020 to FY2025).
- By fiscal year, Other Accumulated Expenses came in at $49.56 million in FY2024 (-3.9%), $51.59 million in FY2023 (-4.1%), $53.8 million in FY2022 (+2.5%) and $52.51 million in FY2021 (+5.3%).
- Five-year quarterly Other Accumulated Expenses spans a low of $40.94 million in fiscal Q1 2022 and a high of $65.52 million in fiscal Q3 2025.
- Year over year, Other Accumulated Expenses gained in five of the last eight quarters, with growth averaging 10.8%.
- The high point for year-over-year Other Accumulated Expenses in five years was fiscal Q3 2025 (growth of 27.3%); the low point was fiscal Q1 2022 (a decline of 16.6%).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $59.73 million (Q2 2026), $60.82 million (Q1 2026) and $59.72 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Space Exploration Technologies | 1,943.02 Bn | 1,704.73 Bn | 9.10 Bn |
| 2 | General Electric | 349.37 Bn | 308.11 Bn | 5.02 Bn |
| 3 | Rtx | 270.29 Bn | 240.28 Bn | 5.81 Bn |
| 4 | Lockheed Martin | 139.31 Bn | 123.54 Bn | 2.44 Bn |
| 5 | Boeing | 137.40 Bn | 46.38 Bn | 2.17 Bn |
| 6 | General Dynamics | 99.29 Bn | 84.52 Bn | 2.25 Bn |
| 7 | Motorola Solutions | 87.28 Bn | 83.77 Bn | 1.77 Bn |
| 8 | Howmet Aerospace | 87.15 Bn | 82.91 Bn | 1.00 Bn |
| 9 | Northrop Grumman | 77.96 Bn | 65.41 Bn | 2.35 Bn |
| 10 | Esco Technologies | 154.40 Mn | -216.31 Mn | 141.52 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 61.26 Mn |
| Mar 31, 2026 | 59.73 Mn |
| Dec 31, 2025 | 60.82 Mn |
| Sep 30, 2025 | 59.72 Mn |
| Jun 30, 2025 | 65.52 Mn |
| Mar 31, 2025 | 52.87 Mn |
| Dec 31, 2024 | 50.50 Mn |
| Sep 30, 2024 | 49.56 Mn |
| Jun 30, 2024 | 51.48 Mn |
| Mar 31, 2024 | 44.98 Mn |
| Dec 31, 2023 | 51.64 Mn |
| Sep 30, 2023 | 51.59 Mn |
| Jun 30, 2023 | 51.24 Mn |
| Mar 31, 2023 | 46.37 Mn |
| Dec 31, 2022 | 50.43 Mn |
| Sep 30, 2022 | 53.80 Mn |
| Jun 30, 2022 | 48.23 Mn |
| Mar 31, 2022 | 47.21 Mn |
| Dec 31, 2021 | 40.94 Mn |
| Sep 30, 2021 | 52.51 Mn |
Esco Technologies Other Accumulated Expenses 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=other-accumulated-expenses&ticker=ESE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "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=other-accumulated-expenses&ticker=ESE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();