Esco Technologies (ESE) Interest Expenses (2022 - 2025)
Esco Technologies (ESE) recorded Interest Expenses of $2.88 million in fiscal Q1 2026 (quarter ended Dec 31, 2025), up 27.6% from $2.26 million a year earlier but down 43.8% from the prior quarter.
Esco Technologies (ESE) Interest Expenses (2022 - 2025) Analysis & Trends
On a TTM basis, Esco Technologies' Interest Expenses came in at $18.13 million as of Dec 31, 2025, up 22.2% year-over-year; for FY2025 (ended Sep 30, 2025), it came in at $17.5 million, up 14.8% from FY2024.
- Annual Interest Expenses has increased for four straight fiscal years, with a four-year compound annual growth rate of 67.9% (FY2021 to FY2025).
- Across earlier fiscal years, Interest Expenses came in at $15.25 million in FY2024 (+73.9%), $8.77 million in FY2023 (+79.0%), $4.9 million in FY2022 (+122.7%) and $2.2 million in FY2021.
- Quarterly Interest Expenses has ranged from $1.33 million in fiscal Q3 2022 to $7.92 million in fiscal Q3 2025 over the past five years.
- On a year-over-year basis, Interest Expenses rose in five of the last eight quarters, with growth averaging 41.9%.
- Peak year-over-year performance for Interest Expenses in the last five years was growth of 156.5% in fiscal Q4 2024, against a decline of 32.0% in fiscal Q2 2025 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $5.13 million (Q4 2025), $7.92 million (Q3 2025) and $2.2 million (Q2 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 324.09 Bn | 278.09 Bn | 4.68 Bn | 215.00 Mn |
| 2 | Rtx | 250.22 Bn | 223.44 Bn | 5.13 Bn | - |
| 3 | Boeing | 147.08 Bn | 53.78 Bn | 2.41 Bn | 600.00 Mn |
| 4 | Lockheed Martin | 117.51 Bn | 104.24 Bn | 2.45 Bn | 266.00 Mn |
| 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 | 109.00 Mn |
| 8 | Northrop Grumman | 68.68 Bn | 57.92 Bn | 2.12 Bn | 161.00 Mn |
| 9 | Honeywell International | 66.86 Bn | 19.30 Bn | 3.65 Bn | 363.00 Mn |
| 10 | Esco Technologies | 6.87 Bn | 6.50 Bn | 141.52 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 2.88 Mn |
| Sep 30, 2025 | 5.13 Mn |
| Jun 30, 2025 | 7.92 Mn |
| Mar 31, 2025 | 2.20 Mn |
| Dec 31, 2024 | 2.26 Mn |
| Sep 30, 2024 | 6.02 Mn |
| Jun 30, 2024 | 3.34 Mn |
| Mar 31, 2024 | 3.23 Mn |
| Dec 31, 2023 | 2.67 Mn |
| Sep 30, 2023 | 2.35 Mn |
| Jun 30, 2023 | 2.50 Mn |
| Mar 31, 2023 | 2.27 Mn |
| Dec 31, 2022 | 1.66 Mn |
| Sep 30, 2022 | 1.82 Mn |
| Jun 30, 2022 | 1.33 Mn |
Esco Technologies Interest 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=interest-expenses&ticker=ESE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-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=interest-expenses&ticker=ESE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();