Esco Technologies (ESE) Operating Expenses (2009 - 2026)
Esco Technologies (ESE) posted Operating Expenses of $298.07 million for fiscal Q3 2026 (quarter ended Jun 30, 2026), up 13.2% from $263.28 million a year earlier and up 12.3% from the prior quarter.
Esco Technologies (ESE) Operating Expenses (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at Esco Technologies was $1.11 billion, up 27.3% year-over-year; for FY2025 (ended Sep 30, 2025), it was $942.54 million, up 19.6% from FY2024.
- Annual Operating Expenses shows a five-year compound annual growth rate of 6.3% (FY2020 to FY2025).
- In prior fiscal years, Esco Technologies' Operating Expenses was $788.17 million in FY2024 (+5.7%), $745.43 million in FY2023 (-0.8%), $751.07 million in FY2022 (+18.3%) and $634.77 million in FY2021 (-8.5%).
- The fiscal Q3 2026 figure stands as the highest quarterly Operating Expenses in data going back to fiscal Q3 2009.
- On a year-over-year basis, Operating Expenses has increased in each of the last five quarters, with growth averaging 23.9% over the last eight quarters.
- The strongest year-over-year quarter for Operating Expenses in the past five years was fiscal Q4 2024, with growth of 59.5%; the weakest was fiscal Q4 2023, with a decline of 35.3%.
- According to Business Quant data, Operating Expenses for the three prior fiscal quarters was $265.48 million (Q2 2026), $254.18 million (Q1 2026) and $293.11 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 330.06 Bn | 284.06 Bn | 4.68 Bn | 10.86 Bn |
| 2 | Rtx | 252.10 Bn | 225.31 Bn | 5.13 Bn | 21.96 Bn |
| 3 | Boeing | 148.40 Bn | 55.10 Bn | 2.41 Bn | 2.35 Bn |
| 4 | Lockheed Martin | 118.20 Bn | 104.92 Bn | 2.45 Bn | - |
| 5 | Howmet Aerospace | 92.39 Bn | 87.99 Bn | 951.00 Mn | 156.00 Mn |
| 6 | General Dynamics | 89.92 Bn | 77.03 Bn | 2.18 Bn | 12.63 Bn |
| 7 | Motorola Solutions | 73.84 Bn | 70.20 Bn | 1.68 Bn | 756.00 Mn |
| 8 | Northrop Grumman | 71.73 Bn | 60.97 Bn | 2.12 Bn | 9.78 Bn |
| 9 | Honeywell International | 66.60 Bn | 19.04 Bn | 3.65 Bn | 1.87 Bn |
| 10 | Esco Technologies | 6.88 Bn | 6.51 Bn | 141.52 Mn | 298.07 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 298.07 Mn |
| Mar 31, 2026 | 265.48 Mn |
| Dec 31, 2025 | 254.18 Mn |
| Sep 30, 2025 | 293.11 Mn |
| Jun 30, 2025 | 263.28 Mn |
| Mar 31, 2025 | 197.36 Mn |
| Dec 31, 2024 | 188.80 Mn |
| Sep 30, 2024 | 222.92 Mn |
| Jun 30, 2024 | 197.60 Mn |
| Mar 31, 2024 | 219.91 Mn |
| Dec 31, 2023 | 198.86 Mn |
| Sep 30, 2023 | 139.79 Mn |
| Jun 30, 2023 | 213.24 Mn |
| Mar 31, 2023 | 205.79 Mn |
| Dec 31, 2022 | 186.60 Mn |
| Sep 30, 2022 | 216.07 Mn |
| Jun 30, 2022 | 189.56 Mn |
| Mar 31, 2022 | 183.26 Mn |
| Dec 31, 2021 | 162.17 Mn |
| Sep 30, 2021 | 180.44 Mn |
Esco Technologies Operating 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=operating-expenses&ticker=ESE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=ESE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();