Escalon Medical (ESMC) Operating Expenses (2010 - 2026)
Escalon Medical (ESMC) posted Operating Expenses of $3.03 million for fiscal Q3 2026 (quarter ended Mar 31, 2026), down 5.3% from $3.2 million a year earlier and down 13.3% from the prior quarter.
Escalon Medical (ESMC) Operating Expenses (2010 - 2026) Analysis & Trends
For the trailing twelve months through Mar 31, 2026, Operating Expenses at Escalon Medical was $12.34 million, up 0.3% year-over-year; for FY2025 (ended Jun 30, 2025), it came in at $11.91 million, down 1.4% from FY2024.
- Annual Operating Expenses shows a five-year compound annual growth rate of 2.0% (FY2020 to FY2025).
- In prior fiscal years, Escalon Medical's Operating Expenses was $12.09 million in FY2024 (+3.3%), $11.7 million in FY2023 (+4.7%), $11.17 million in FY2022 (+6.4%) and $10.51 million in FY2021 (-2.7%).
- Quarterly Operating Expenses has run from a low of $2.65 million in fiscal Q4 2021 to a high of $3.49 million in fiscal Q2 2026 over five years.
- On a year-over-year basis, Operating Expenses increased in five of the last eight quarters, with growth averaging 3.1%.
- The strongest year-over-year quarter for Operating Expenses in the past five years was fiscal Q2 2026, with growth of 17.8%; the weakest was fiscal Q4 2025, with a decline of 11.7%.
- According to Business Quant data, Operating Expenses for the three prior fiscal quarters was $3.49 million (Q2 2026), $2.88 million (Q1 2026) and $2.94 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 257.09 Bn | 236.12 Bn | 4.88 Bn | 9.91 Bn |
| 2 | Abbott Laboratories | 171.50 Bn | 141.93 Bn | 7.27 Bn | 10.90 Bn |
| 3 | Danaher | 161.89 Bn | 145.70 Bn | 3.61 Bn | 2.48 Bn |
| 4 | Intuitive Surgical | 151.21 Bn | 130.63 Bn | 1.96 Bn | 988.50 Mn |
| 5 | Medtronic | 119.70 Bn | 84.95 Bn | 6.34 Bn | 4.06 Bn |
| 6 | Stryker | 113.89 Bn | 100.00 Bn | 4.50 Bn | 2.84 Bn |
| 7 | Boston Scientific | 65.17 Bn | 59.94 Bn | 3.85 Bn | 2.67 Bn |
| 8 | Becton Dickinson | 53.53 Bn | 50.67 Bn | 2.32 Bn | 4.32 Bn |
| 9 | Edwards Lifesciences | 50.80 Bn | 34.81 Bn | 1.35 Bn | 840.10 Mn |
| 10 | Escalon Medical | 1.33 Mn | -6.03 Mn | 1.95 Mn | 3.29 Mn |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 3.03 Mn |
| Dec 31, 2025 | 3.49 Mn |
| Sep 30, 2025 | 2.88 Mn |
| Jun 30, 2025 | 2.94 Mn |
| Mar 31, 2025 | 3.20 Mn |
| Dec 31, 2024 | 2.96 Mn |
| Sep 30, 2024 | 2.81 Mn |
| Jun 30, 2024 | 3.33 Mn |
| Mar 31, 2024 | 2.85 Mn |
| Dec 31, 2023 | 2.94 Mn |
| Sep 30, 2023 | 2.96 Mn |
| Jun 30, 2023 | 2.93 Mn |
| Mar 31, 2023 | 2.84 Mn |
| Dec 31, 2022 | 3.01 Mn |
| Sep 30, 2022 | 2.92 Mn |
| Jun 30, 2022 | 2.86 Mn |
| Mar 31, 2022 | 2.71 Mn |
| Dec 31, 2021 | 2.75 Mn |
| Sep 30, 2021 | 2.86 Mn |
| Jun 30, 2021 | 2.65 Mn |
Escalon Medical Operating 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=operating-expenses&ticker=ESMC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=ESMC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();