Mimedx (MDXG) Accumulated Expenses (2011 - 2026)
Mimedx (MDXG) reported Accumulated Expenses of $11.14 million for Q2 2026, down 26.2% from $15.11 million a year earlier but up 1.2% from the prior quarter.
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Analysis
Mimedx (MDXG) Accumulated Expenses (2011 - 2026) Analysis & Trends
At the end of FY2025, Mimedx posted Accumulated Expenses of $11.38 million, up 26.3% from FY2024.
- Accumulated Expenses has a five-year compound annual growth rate of -17.9% (FY2020 to FY2025).
- By year, Accumulated Expenses came in at $9.01 million in FY2024 (-3.7%), $9.36 million in FY2023 (-14.4%), $10.93 million in FY2022 (+11.4%) and $9.81 million in FY2021 (-67.8%).
- Five-year quarterly Accumulated Expenses spans a low of $8.4 million in Q3 2024 and a high of $15.11 million in Q2 2025.
- Year over year, Accumulated Expenses gained in five of the last eight quarters, with growth averaging 15.0%.
- The high point for year-over-year Accumulated Expenses in five years was Q2 2025 (growth of 62.8%); the low point was Q1 2022 (a decline of 68.0%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $11.01 million (Q1 2026), $11.38 million (Q4 2025) and $12.83 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 241.25 Bn | 220.40 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 167.33 Bn | 138.41 Bn | 7.27 Bn |
| 3 | Danaher | 148.83 Bn | 132.65 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 142.00 Bn | 121.55 Bn | 1.96 Bn |
| 5 | Medtronic | 110.70 Bn | 76.57 Bn | 6.34 Bn |
| 6 | Stryker | 104.72 Bn | 90.84 Bn | 4.50 Bn |
| 7 | Boston Scientific | 62.66 Bn | 57.67 Bn | 3.85 Bn |
| 8 | Edwards Lifesciences | 49.13 Bn | 33.24 Bn | 1.35 Bn |
| 9 | Becton Dickinson | 48.51 Bn | 45.66 Bn | 2.32 Bn |
| 10 | Mimedx | 676.16 Mn | 72.35 Mn | 44.38 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 11.14 Mn |
| Mar 31, 2026 | 11.01 Mn |
| Dec 31, 2025 | 11.38 Mn |
| Sep 30, 2025 | 12.83 Mn |
| Jun 30, 2025 | 15.11 Mn |
| Mar 31, 2025 | 9.45 Mn |
| Dec 31, 2024 | 9.01 Mn |
| Sep 30, 2024 | 8.40 Mn |
| Jun 30, 2024 | 9.28 Mn |
| Mar 31, 2024 | 9.20 Mn |
| Dec 31, 2023 | 9.36 Mn |
| Sep 30, 2023 | 9.44 Mn |
| Jun 30, 2023 | 12.65 Mn |
| Mar 31, 2023 | 13.04 Mn |
| Dec 31, 2022 | 10.93 Mn |
| Sep 30, 2022 | 10.99 Mn |
| Jun 30, 2022 | 10.00 Mn |
| Mar 31, 2022 | 9.81 Mn |
| Dec 31, 2021 | 9.81 Mn |
| Sep 30, 2021 | 13.69 Mn |
API Access
Mimedx 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=MDXG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=MDXG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();