Mimedx (MDXG) Operating Expenses (2011 - 2026)
Mimedx (MDXG) reported Operating Expenses of $62.56 million for Q2 2026, down 7.3% from $67.45 million a year earlier but up 9.0% from the prior quarter.
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Analysis
Mimedx (MDXG) Operating Expenses (2011 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Mimedx's Operating Expenses came in at $270.47 million, up 7.4% year-over-year; for FY2025, it was $281.29 million, up 18.5% from FY2024.
- Operating Expenses has increased for five consecutive years, with a five-year compound annual growth rate of 7.9% (FY2020 to FY2025).
- By year, Operating Expenses came in at $237.43 million in FY2024 (+6.1%), $223.79 million in FY2023 (+1.1%), $221.37 million in FY2022 (+8.1%) and $204.78 million in FY2021 (+6.2%).
- Five-year quarterly Operating Expenses spans a low of $45.11 million in Q4 2022 and a high of $77.83 million in Q4 2025.
- Year over year, Operating Expenses gained in six of the last eight quarters, with growth averaging 9.0%.
- The high point for year-over-year Operating Expenses in five years was Q3 2025 (growth of 28.8%); the low point was Q4 2021 (a decline of 10.4%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $57.37 million (Q1 2026), $77.83 million (Q4 2025) and $72.7 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.30 Bn | 230.45 Bn | 4.88 Bn | 9.91 Bn |
| 2 | Abbott Laboratories | 174.70 Bn | 145.78 Bn | 7.27 Bn | 10.90 Bn |
| 3 | Danaher | 158.94 Bn | 142.76 Bn | 3.61 Bn | 2.48 Bn |
| 4 | Intuitive Surgical | 145.87 Bn | 125.42 Bn | 1.96 Bn | 988.50 Mn |
| 5 | Medtronic | 111.49 Bn | 77.36 Bn | 6.34 Bn | 4.06 Bn |
| 6 | Stryker | 106.96 Bn | 93.08 Bn | 4.50 Bn | 2.84 Bn |
| 7 | Boston Scientific | 63.62 Bn | 58.63 Bn | 3.85 Bn | 2.67 Bn |
| 8 | Edwards Lifesciences | 50.80 Bn | 34.92 Bn | 1.35 Bn | 840.10 Mn |
| 9 | Becton Dickinson | 49.59 Bn | 46.74 Bn | 2.32 Bn | 4.32 Bn |
| 10 | Mimedx | 680.53 Mn | 76.72 Mn | 44.38 Mn | 62.56 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 62.56 Mn |
| Mar 31, 2026 | 57.37 Mn |
| Dec 31, 2025 | 77.83 Mn |
| Sep 30, 2025 | 72.70 Mn |
| Jun 30, 2025 | 67.45 Mn |
| Mar 31, 2025 | 63.30 Mn |
| Dec 31, 2024 | 64.61 Mn |
| Sep 30, 2024 | 56.43 Mn |
| Jun 30, 2024 | 58.41 Mn |
| Mar 31, 2024 | 57.97 Mn |
| Dec 31, 2023 | 56.78 Mn |
| Sep 30, 2023 | 55.85 Mn |
| Jun 30, 2023 | 58.88 Mn |
| Mar 31, 2023 | 55.73 Mn |
| Dec 31, 2022 | 45.11 Mn |
| Sep 30, 2022 | 59.43 Mn |
| Jun 30, 2022 | 61.31 Mn |
| Mar 31, 2022 | 55.53 Mn |
| Dec 31, 2021 | 46.72 Mn |
| Sep 30, 2021 | 50.66 Mn |
API Access
Mimedx 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=MDXG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "MDXG", "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=MDXG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();