Esco Technologies (ESE) Total Non-Current Liabilities (2009 - 2026)
Esco Technologies (ESE) reported Total Non-Current Liabilities of $771.13 million for fiscal Q3 2026 (quarter ended Jun 30, 2026), down 26.7% from $1.05 billion a year earlier and down 1.9% from the prior quarter.
Esco Technologies (ESE) Total Non-Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), Esco Technologies posted Total Non-Current Liabilities of $830.94 million, up 47.9% from FY2024.
- Total Non-Current Liabilities has a five-year compound annual growth rate of 17.4% (FY2020 to FY2025).
- By fiscal year, Total Non-Current Liabilities came in at $562 million in FY2024 (+10.5%), $508.74 million in FY2023 (-8.8%), $558.05 million in FY2022 (+9.3%) and $510.59 million in FY2021 (+36.9%).
- The fiscal Q3 2026 figure ranks as the lowest quarterly Total Non-Current Liabilities since fiscal Q2 2025.
- Year over year, Total Non-Current Liabilities gained in five of the last eight quarters, with growth averaging 29.0%.
- The high point for year-over-year Total Non-Current Liabilities in five years was fiscal Q2 2026 (growth of 107.4%); the low point was fiscal Q2 2025 (a decline of 34.2%).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $786.21 million (Q2 2026), $802.64 million (Q1 2026) and $830.94 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 324.09 Bn | 278.09 Bn | 4.68 Bn | 102.53 Bn |
| 2 | Rtx | 250.22 Bn | 223.44 Bn | 5.13 Bn | 86.00 Mn |
| 3 | Boeing | 147.08 Bn | 53.78 Bn | 2.41 Bn | 157.29 Bn |
| 4 | Lockheed Martin | 117.51 Bn | 104.24 Bn | 2.45 Bn | 48.28 Bn |
| 5 | Howmet Aerospace | 90.46 Bn | 86.07 Bn | 951.00 Mn | 6.90 Bn |
| 6 | General Dynamics | 89.77 Bn | 76.88 Bn | 2.18 Bn | 14.57 Bn |
| 7 | Motorola Solutions | 73.88 Bn | 70.24 Bn | 1.68 Bn | 14.44 Bn |
| 8 | Northrop Grumman | 68.68 Bn | 57.92 Bn | 2.12 Bn | 30.72 Bn |
| 9 | Honeywell International | 66.86 Bn | 19.30 Bn | 3.65 Bn | 52.22 Bn |
| 10 | Esco Technologies | 6.87 Bn | 6.50 Bn | 141.52 Mn | 771.13 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 771.13 Mn |
| Mar 31, 2026 | 786.21 Mn |
| Dec 31, 2025 | 802.64 Mn |
| Sep 30, 2025 | 830.94 Mn |
| Jun 30, 2025 | 1.05 Bn |
| Mar 31, 2025 | 379.05 Mn |
| Dec 31, 2024 | 520.03 Mn |
| Sep 30, 2024 | 562.00 Mn |
| Jun 30, 2024 | 576.93 Mn |
| Mar 31, 2024 | 576.02 Mn |
| Dec 31, 2023 | 576.20 Mn |
| Sep 30, 2023 | 508.74 Mn |
| Jun 30, 2023 | 552.35 Mn |
| Mar 31, 2023 | 556.86 Mn |
| Dec 31, 2022 | 524.32 Mn |
| Sep 30, 2022 | 558.05 Mn |
| Jun 30, 2022 | 580.88 Mn |
| Mar 31, 2022 | 562.28 Mn |
| Dec 31, 2021 | 551.55 Mn |
| Sep 30, 2021 | 510.59 Mn |
Esco Technologies Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=ESE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=ESE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();