Mimedx (MDXG) Accumulated Expenses (2009 - 2026)
Mimedx (MDXG) reported Accumulated Expenses of $12.77 million for Q3 2026, down 0.4% from $12.83 million a year earlier but up 14.6% from the prior quarter.
Mimedx (MDXG) Accumulated Expenses (2009 - 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 16.3%.
- 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 Q3 2026 came in at $11.14 million (Q2 2026), $11.01 million (Q1 2026) and $11.38 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 266.22 Bn | 242.86 Bn | 5.13 Bn |
| 2 | Abbott Laboratories | 191.31 Bn | 165.77 Bn | 7.39 Bn |
| 3 | Danaher | 166.16 Bn | 145.82 Bn | 3.84 Bn |
| 4 | Intuitive Surgical | 155.98 Bn | 136.40 Bn | 2.08 Bn |
| 5 | Medtronic | 130.05 Bn | 96.18 Bn | 6.34 Bn |
| 6 | Stryker | 123.40 Bn | 109.59 Bn | 4.25 Bn |
| 7 | Boston Scientific | 64.81 Bn | 60.48 Bn | 3.43 Bn |
| 8 | Edwards Lifesciences | 59.87 Bn | 43.18 Bn | 1.35 Bn |
| 9 | Medline | 53.84 Bn | 50.96 Bn | 1.93 Bn |
| 10 | Mimedx | 491.77 Mn | -90.75 Mn | 49.70 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 12.77 Mn |
| 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 |
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_KEY
import 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();