Escalon Medical (ESMC) Total Liabilities (2011 - 2026)
Escalon Medical's Total Liabilities came in at $3.2 million for fiscal Q4 2026 (quarter ended Jun 30, 2026), up 4.0% from $3.08 million a year earlier but down 5.5% from the prior quarter.
Escalon Medical (ESMC) Total Liabilities (2011 - 2026) Analysis & Trends
Going back to fiscal Q4 2011, Escalon Medical's Total Liabilities data covers 61 quarters.
- Total Liabilities carries a five-year compound annual growth rate of -5.4% (FY2021 to FY2026).
- Going back by fiscal year, Total Liabilities was $3.08 million in FY2025 (+4.4%), $2.95 million in FY2024 (-12.6%), $3.37 million in FY2023 (-8.7%) and $3.69 million in FY2022 (-12.5%).
- The five-year range for quarterly Total Liabilities is $2.46 million (fiscal Q2 2025) to $3.86 million (fiscal Q3 2022).
- Year-over-year, Total Liabilities has increased for three consecutive quarters, with growth averaging 4.6% over the last eight quarters.
- 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 $3.39 million (Q3 2026), $3.21 million (Q2 2026) and $2.91 million (Q1 2026) in the three fiscal quarters before Q4 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 257.79 Bn | 234.30 Bn | 5.13 Bn | 59.47 Bn |
| 2 | Abbott Laboratories | 190.83 Bn | 164.70 Bn | 7.39 Bn | 56.62 Bn |
| 3 | Danaher | 162.10 Bn | 141.75 Bn | 3.84 Bn | 39.65 Bn |
| 4 | Intuitive Surgical | 158.05 Bn | 138.34 Bn | 2.08 Bn | 3.23 Bn |
| 5 | Medtronic | 130.31 Bn | 95.56 Bn | 6.34 Bn | 42.46 Bn |
| 6 | Stryker | 124.76 Bn | 110.95 Bn | 4.25 Bn | 23.79 Bn |
| 7 | Boston Scientific | 62.03 Bn | 57.46 Bn | 3.43 Bn | 19.59 Bn |
| 8 | Edwards Lifesciences | 58.73 Bn | 41.94 Bn | 1.35 Bn | 3.18 Bn |
| 9 | Becton Dickinson | 58.33 Bn | 55.48 Bn | 2.32 Bn | 26.32 Bn |
| 10 | Escalon Medical | 1.39 Mn | -5.97 Mn | 1.95 Mn | 3.20 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.20 Mn |
| 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 |
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();