Escalon Medical (ESMC) Accumulated Expenses (2011 - 2026)
Escalon Medical (ESMC) posted Accumulated Expenses of $783,777 for fiscal Q3 2026 (quarter ended Mar 31, 2026), up 2.7% from $763,256 a year earlier and up 4.8% from the prior quarter.
Powered by 
Analysis
Escalon Medical (ESMC) Accumulated Expenses (2011 - 2026) Analysis & Trends
At the end of FY2025 (ended Jun 30, 2025), Escalon Medical's Accumulated Expenses came in at $633,422, up 7.7% from FY2024.
- Annual Accumulated Expenses shows a five-year compound annual growth rate of -1.4% (FY2020 to FY2025).
- In prior fiscal years, Escalon Medical's Accumulated Expenses was $588,317 in FY2024 (-9.8%), $651,978 in FY2023 (-27.7%), $901,996 in FY2022 (+29.7%) and $695,553 in FY2021 (+2.1%).
- The fiscal Q3 2026 figure stands as the highest quarterly Accumulated Expenses since fiscal Q3 2023.
- On a year-over-year basis, Accumulated Expenses has increased in each of the last six quarters, with growth averaging 8.2% over the last eight quarters.
- The strongest year-over-year quarter for Accumulated Expenses in the past five years was fiscal Q4 2022, with growth of 29.7%; the weakest was fiscal Q3 2024, with a decline of 32.1%.
- According to Business Quant data, Accumulated Expenses for the three prior fiscal quarters was $748,065 (Q2 2026), $747,375 (Q1 2026) and $633,422 (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.93 Bn | 230.96 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 181.29 Bn | 151.72 Bn | 7.27 Bn |
| 3 | Danaher | 158.18 Bn | 141.99 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 153.47 Bn | 132.89 Bn | 1.96 Bn |
| 5 | Medtronic | 118.97 Bn | 84.22 Bn | 6.34 Bn |
| 6 | Stryker | 114.72 Bn | 100.84 Bn | 4.50 Bn |
| 7 | Boston Scientific | 66.18 Bn | 60.95 Bn | 3.85 Bn |
| 8 | Becton Dickinson | 52.49 Bn | 49.64 Bn | 2.32 Bn |
| 9 | Edwards Lifesciences | 50.32 Bn | 34.33 Bn | 1.35 Bn |
| 10 | Escalon Medical | 1.36 Mn | -3.48 Mn | 946,662.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 896,166.00 |
| Dec 31, 2025 | 860,454.00 |
| Sep 30, 2025 | 859,764.00 |
| Jun 30, 2025 | 745,811.00 |
| Mar 31, 2025 | 875,645.00 |
| Dec 31, 2024 | 817,016.00 |
| Sep 30, 2024 | 701,573.00 |
| Jun 30, 2024 | 700,706.00 |
| Mar 31, 2024 | 702,266.00 |
| Dec 31, 2023 | 769,932.00 |
| Sep 30, 2023 | 728,206.00 |
| Jun 30, 2023 | 764,367.00 |
| Mar 31, 2023 | 981,322.00 |
| Dec 31, 2022 | 771,498.00 |
| Sep 30, 2022 | 954,434.00 |
| Jun 30, 2022 | 1.01 Mn |
| Mar 31, 2022 | 979,591.00 |
| Dec 31, 2021 | 891,549.00 |
| Sep 30, 2021 | 905,531.00 |
| Jun 30, 2021 | 695,553.00 |
API Access
Escalon Medical Accumulated 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=accumulated-expenses&ticker=ESMC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=ESMC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();