Escalon Medical (ESMC) Total Liabilities (2011 - 2026)
Escalon Medical's Total Liabilities came in at $3.39 million for fiscal Q3 2026 (quarter ended Mar 31, 2026), up 15.9% from $2.92 million a year earlier and up 5.6% from the prior quarter.
Escalon Medical (ESMC) Total Liabilities (2011 - 2026) Analysis & Trends
At the end of FY2025 (ended Jun 30, 2025), Escalon Medical's Total Liabilities was $3.08 million, up 4.4% from FY2024.
- Total Liabilities carries a five-year compound annual growth rate of -6.1% (FY2020 to FY2025).
- Going back by fiscal year, Total Liabilities was $2.95 million in FY2024 (-12.6%), $3.37 million in FY2023 (-8.7%), $3.69 million in FY2022 (-12.5%) and $4.22 million in FY2021 (+0.3%).
- The fiscal Q3 2026 figure represents the highest quarterly Total Liabilities since fiscal Q2 2023.
- Year-over-year, Total Liabilities increased in three of the last eight quarters, with growth averaging 2.5%.
- The fastest year-over-year change in Total Liabilities over five years came in fiscal Q2 2026 (growth of 30.2%), and the weakest in fiscal Q1 2024 (a decline of 20.0%).
- Business Quant data shows ESMC's Total Liabilities at $3.21 million (Q2 2026), $2.91 million (Q1 2026) and $3.08 million (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.93 Bn | 230.96 Bn | 4.88 Bn | 60.49 Bn |
| 2 | Abbott Laboratories | 181.29 Bn | 151.72 Bn | 7.27 Bn | 57.45 Bn |
| 3 | Danaher | 158.18 Bn | 141.99 Bn | 3.61 Bn | 39.78 Bn |
| 4 | Intuitive Surgical | 153.47 Bn | 132.89 Bn | 1.96 Bn | 2.58 Bn |
| 5 | Medtronic | 118.97 Bn | 84.22 Bn | 6.34 Bn | 42.46 Bn |
| 6 | Stryker | 114.72 Bn | 100.84 Bn | 4.50 Bn | 23.94 Bn |
| 7 | Boston Scientific | 66.18 Bn | 60.95 Bn | 3.85 Bn | 20.04 Bn |
| 8 | Becton Dickinson | 52.49 Bn | 49.64 Bn | 2.32 Bn | 26.32 Bn |
| 9 | Edwards Lifesciences | 50.32 Bn | 34.33 Bn | 1.35 Bn | 3.14 Bn |
| 10 | Escalon Medical | 1.36 Mn | -3.48 Mn | 946,662.00 | 3.39 Mn |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 3.39 Mn |
| Dec 31, 2025 | 3.21 Mn |
| Sep 30, 2025 | 2.91 Mn |
| Jun 30, 2025 | 3.08 Mn |
| Mar 31, 2025 | 2.92 Mn |
| Dec 31, 2024 | 2.46 Mn |
| Sep 30, 2024 | 2.94 Mn |
| Jun 30, 2024 | 2.95 Mn |
| Mar 31, 2024 | 2.92 Mn |
| Dec 31, 2023 | 2.87 Mn |
| Sep 30, 2023 | 3.01 Mn |
| Jun 30, 2023 | 3.37 Mn |
| Mar 31, 2023 | 3.38 Mn |
| Dec 31, 2022 | 3.49 Mn |
| Sep 30, 2022 | 3.77 Mn |
| Jun 30, 2022 | 3.69 Mn |
| Mar 31, 2022 | 3.86 Mn |
| Dec 31, 2021 | 3.51 Mn |
| Sep 30, 2021 | 3.68 Mn |
| Jun 30, 2021 | 4.22 Mn |
Escalon Medical 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=ESMC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "ESMC", "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=ESMC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();