KORU Medical Systems (KRMD) Operating Expenses (2010 - 2026)
KORU Medical Systems' Operating Expenses came in at $7.22 million for Q2 2026, up 6.3% from $6.79 million a year earlier but down 10.8% from the prior quarter.
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Analysis
KORU Medical Systems (KRMD) Operating Expenses (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, KORU Medical Systems reported Operating Expenses of $29.81 million, up 6.0% year-over-year; for FY2025, it came in at $28.58 million, up 2.9% from FY2024.
- Operating Expenses has increased in each of the last five years, with a five-year compound annual growth rate of 12.0% (FY2020 to FY2025).
- Going back by year, Operating Expenses was $27.78 million in FY2024 (+3.0%), $26.98 million in FY2023 (+3.2%), $26.15 million in FY2022 (+25.7%) and $20.8 million in FY2021 (+28.5%).
- The five-year range for quarterly Operating Expenses is $4.82 million (Q3 2021) to $8.1 million (Q1 2026).
- Year-over-year, Operating Expenses has increased for eight consecutive quarters, with growth averaging 6.3% over the last eight quarters.
- The fastest year-over-year change in Operating Expenses over five years came in Q4 2021 (growth of 71.7%), and the weakest in Q2 2024 (a decline of 6.2%).
- Business Quant data shows KRMD's Operating Expenses at $8.1 million (Q1 2026), $7.36 million (Q4 2025) and $7.13 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 9.91 Bn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | 10.90 Bn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 2.48 Bn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | 988.50 Mn |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 4.06 Bn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 2.84 Bn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 2.67 Bn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | 840.10 Mn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 4.32 Bn |
| 10 | KORU Medical Systems | 135.22 Mn | 100.78 Mn | 7.85 Mn | 7.22 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 7.22 Mn |
| Mar 31, 2026 | 8.10 Mn |
| Dec 31, 2025 | 7.36 Mn |
| Sep 30, 2025 | 7.13 Mn |
| Jun 30, 2025 | 6.79 Mn |
| Mar 31, 2025 | 7.29 Mn |
| Dec 31, 2024 | 7.15 Mn |
| Sep 30, 2024 | 6.89 Mn |
| Jun 30, 2024 | 6.67 Mn |
| Mar 31, 2024 | 7.06 Mn |
| Dec 31, 2023 | 6.53 Mn |
| Sep 30, 2023 | 6.13 Mn |
| Jun 30, 2023 | 7.11 Mn |
| Mar 31, 2023 | 7.20 Mn |
| Dec 31, 2022 | 6.59 Mn |
| Sep 30, 2022 | 5.85 Mn |
| Jun 30, 2022 | 6.96 Mn |
| Mar 31, 2022 | 6.75 Mn |
| Dec 31, 2021 | 5.94 Mn |
| Sep 30, 2021 | 4.82 Mn |
API Access
KORU Medical Systems 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=KRMD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "KRMD", "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=KRMD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();