Esco Technologies (ESE) Operating Leases (2019 - 2026)
Esco Technologies' Operating Leases came in at $44.11 million for fiscal Q3 2026 (quarter ended Jun 30, 2026), up 1.1% from $43.63 million a year earlier but down 3.5% from the prior quarter.
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Analysis
Esco Technologies (ESE) Operating Leases (2019 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), Esco Technologies' Operating Leases was $44.4 million, up 27.6% from FY2024.
- Operating Leases carries a five-year compound annual growth rate of 21.5% (FY2020 to FY2025).
- Going back by fiscal year, Operating Leases was $34.81 million in FY2024 (-4.8%), $36.55 million in FY2023 (+47.1%), $24.85 million in FY2022 (-11.3%) and $28.03 million in FY2021 (+67.0%).
- The five-year range for quarterly Operating Leases is $24.85 million (fiscal Q4 2022) to $45.71 million (fiscal Q2 2026).
- Year-over-year, Operating Leases has increased for seven consecutive quarters, with growth averaging 12.2% over the last eight quarters.
- The fastest year-over-year change in Operating Leases over five years came in fiscal Q2 2022 (growth of 81.4%), and the weakest in fiscal Q4 2022 (a decline of 11.3%).
- Business Quant data shows ESE's Operating Leases at $45.71 million (Q2 2026), $43.47 million (Q1 2026) and $44.4 million (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | General Electric | 324.09 Bn | 278.09 Bn | 4.68 Bn |
| 2 | Rtx | 250.22 Bn | 223.44 Bn | 5.13 Bn |
| 3 | Boeing | 147.08 Bn | 53.78 Bn | 2.41 Bn |
| 4 | Lockheed Martin | 117.51 Bn | 104.24 Bn | 2.45 Bn |
| 5 | Howmet Aerospace | 90.46 Bn | 86.07 Bn | 951.00 Mn |
| 6 | General Dynamics | 89.77 Bn | 76.88 Bn | 2.18 Bn |
| 7 | Motorola Solutions | 73.88 Bn | 70.24 Bn | 1.68 Bn |
| 8 | Northrop Grumman | 68.68 Bn | 57.92 Bn | 2.12 Bn |
| 9 | Honeywell International | 66.86 Bn | 19.30 Bn | 3.65 Bn |
| 10 | Esco Technologies | 6.87 Bn | 6.50 Bn | 141.52 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 44.11 Mn |
| Mar 31, 2026 | 45.71 Mn |
| Dec 31, 2025 | 43.47 Mn |
| Sep 30, 2025 | 44.40 Mn |
| Jun 30, 2025 | 43.63 Mn |
| Mar 31, 2025 | 35.95 Mn |
| Dec 31, 2024 | 36.40 Mn |
| Sep 30, 2024 | 34.81 Mn |
| Jun 30, 2024 | 35.15 Mn |
| Mar 31, 2024 | 35.44 Mn |
| Dec 31, 2023 | 35.71 Mn |
| Sep 30, 2023 | 36.55 Mn |
| Jun 30, 2023 | 36.82 Mn |
| Mar 31, 2023 | 37.66 Mn |
| Dec 31, 2022 | 38.35 Mn |
| Sep 30, 2022 | 24.85 Mn |
| Jun 30, 2022 | 25.21 Mn |
| Mar 31, 2022 | 26.30 Mn |
| Dec 31, 2021 | 26.71 Mn |
| Sep 30, 2021 | 28.03 Mn |
API Access
Esco Technologies Operating Leases 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-leases&ticker=ESE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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-leases&ticker=ESE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();