Mimedx (MDXG) Cost of Revenue (2011 - 2026)
Mimedx's Cost of Revenue came in at $19.98 million for Q2 2026, up 7.0% from $18.68 million a year earlier and up 15.0% from the prior quarter.
Mimedx (MDXG) Cost of Revenue (2011 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Mimedx reported Cost of Revenue of $75.12 million, up 11.3% year-over-year; for FY2025, it came in at $73.01 million, up 21.5% from FY2024.
- Cost of Revenue has increased in each of the last five years, with a five-year compound annual growth rate of 13.2% (FY2020 to FY2025).
- Going back by year, Cost of Revenue was $60.07 million in FY2024 (+10.0%), $54.63 million in FY2023 (+13.1%), $48.32 million in FY2022 (+21.9%) and $39.63 million in FY2021 (+0.8%).
- The Q2 2026 figure represents the highest quarterly Cost of Revenue in data going back to Q1 2011.
- Year-over-year, Cost of Revenue has increased for ten consecutive quarters, with growth averaging 15.7% over the last eight quarters.
- The fastest year-over-year change in Cost of Revenue over five years came in Q4 2022 (growth of 102.4%), and the weakest in Q4 2021 (a decline of 34.4%).
- Business Quant data shows MDXG's Cost of Revenue at $17.37 million (Q1 2026), $19.06 million (Q4 2025) and $18.72 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 242.18 Bn | 221.33 Bn | 4.88 Bn | 7.11 Bn |
| 2 | Abbott Laboratories | 168.71 Bn | 139.79 Bn | 7.27 Bn | 5.33 Bn |
| 3 | Danaher | 150.46 Bn | 134.27 Bn | 3.61 Bn | 2.65 Bn |
| 4 | Intuitive Surgical | 138.71 Bn | 118.26 Bn | 1.96 Bn | 931.90 Mn |
| 5 | Medtronic | 110.54 Bn | 76.41 Bn | 6.34 Bn | 3.42 Bn |
| 6 | Stryker | 105.66 Bn | 91.78 Bn | 4.50 Bn | 2.09 Bn |
| 7 | Boston Scientific | 61.74 Bn | 56.75 Bn | 3.85 Bn | 1.59 Bn |
| 8 | Edwards Lifesciences | 49.09 Bn | 33.21 Bn | 1.35 Bn | 392.40 Mn |
| 9 | Becton Dickinson | 48.16 Bn | 45.31 Bn | 2.32 Bn | 2.67 Bn |
| 10 | Mimedx | 668.88 Mn | 65.06 Mn | 44.38 Mn | 19.98 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 19.98 Mn |
| Mar 31, 2026 | 17.37 Mn |
| Dec 31, 2025 | 19.06 Mn |
| Sep 30, 2025 | 18.72 Mn |
| Jun 30, 2025 | 18.68 Mn |
| Mar 31, 2025 | 16.56 Mn |
| Dec 31, 2024 | 16.91 Mn |
| Sep 30, 2024 | 15.32 Mn |
| Jun 30, 2024 | 14.86 Mn |
| Mar 31, 2024 | 12.99 Mn |
| Dec 31, 2023 | 13.84 Mn |
| Sep 30, 2023 | 14.79 Mn |
| Jun 30, 2023 | 13.58 Mn |
| Mar 31, 2023 | 12.42 Mn |
| Dec 31, 2022 | 14.37 Mn |
| Sep 30, 2022 | 12.19 Mn |
| Jun 30, 2022 | 11.82 Mn |
| Mar 31, 2022 | 9.94 Mn |
| Dec 31, 2021 | 7.10 Mn |
| Sep 30, 2021 | 10.13 Mn |
Mimedx Cost of Revenue 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=cost-of-revenue&ticker=MDXG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=MDXG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();