Esco Technologies (ESE) Total Liabilities (2009 - 2026)
Esco Technologies' Total Liabilities came in at $802.74 million for fiscal Q3 2026 (quarter ended Jun 30, 2026), down 26.2% from $1.09 billion a year earlier and down 2.2% from the prior quarter.
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Analysis
Esco Technologies (ESE) Total Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), Esco Technologies' Total Liabilities was $869.52 million, up 44.6% from FY2024.
- Total Liabilities carries a five-year compound annual growth rate of 16.2% (FY2020 to FY2025).
- Going back by fiscal year, Total Liabilities was $601.27 million in FY2024 (+8.9%), $552.07 million in FY2023 (-9.0%), $606.34 million in FY2022 (+8.7%) and $557.65 million in FY2021 (+35.6%).
- The fiscal Q3 2026 figure represents the lowest quarterly Total Liabilities since fiscal Q2 2025.
- Year-over-year, Total Liabilities increased in five of the last eight quarters, with growth averaging 26.0%.
- The fastest year-over-year change in Total Liabilities over five years came in fiscal Q2 2026 (growth of 95.9%), and the weakest in fiscal Q2 2025 (a decline of 32.2%).
- Business Quant data shows ESE's Total Liabilities at $820.39 million (Q2 2026), $838.14 million (Q1 2026) and $869.52 million (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 324.09 Bn | 278.09 Bn | 4.68 Bn | 109.81 Bn |
| 2 | Rtx | 250.22 Bn | 223.44 Bn | 5.13 Bn | 105.86 Bn |
| 3 | Boeing | 147.08 Bn | 53.78 Bn | 2.41 Bn | 159.76 Bn |
| 4 | Lockheed Martin | 117.51 Bn | 104.24 Bn | 2.45 Bn | 53.68 Bn |
| 5 | Howmet Aerospace | 90.46 Bn | 86.07 Bn | 951.00 Mn | 7.52 Bn |
| 6 | General Dynamics | 89.77 Bn | 76.88 Bn | 2.18 Bn | 33.34 Bn |
| 7 | Motorola Solutions | 73.88 Bn | 70.24 Bn | 1.68 Bn | 16.55 Bn |
| 8 | Northrop Grumman | 68.68 Bn | 57.92 Bn | 2.12 Bn | 32.88 Bn |
| 9 | Honeywell International | 66.86 Bn | 19.30 Bn | 3.65 Bn | 58.49 Bn |
| 10 | Esco Technologies | 6.87 Bn | 6.50 Bn | 141.52 Mn | 802.74 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 802.74 Mn |
| Mar 31, 2026 | 820.39 Mn |
| Dec 31, 2025 | 838.14 Mn |
| Sep 30, 2025 | 869.52 Mn |
| Jun 30, 2025 | 1.09 Bn |
| Mar 31, 2025 | 418.83 Mn |
| Dec 31, 2024 | 558.13 Mn |
| Sep 30, 2024 | 601.27 Mn |
| Jun 30, 2024 | 617.37 Mn |
| Mar 31, 2024 | 617.78 Mn |
| Dec 31, 2023 | 618.43 Mn |
| Sep 30, 2023 | 552.07 Mn |
| Jun 30, 2023 | 596.47 Mn |
| Mar 31, 2023 | 601.81 Mn |
| Dec 31, 2022 | 569.59 Mn |
| Sep 30, 2022 | 606.34 Mn |
| Jun 30, 2022 | 622.80 Mn |
| Mar 31, 2022 | 604.61 Mn |
| Dec 31, 2021 | 588.94 Mn |
| Sep 30, 2021 | 557.65 Mn |
API Access
Esco Technologies Total 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-liabilities&ticker=ESE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-liabilities&ticker=ESE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();