Mimedx (MDXG) Receivables - Net (2010 - 2026)
Mimedx's Receivables - Net was $41.3 million in Q2 2026, down 40.3% from $69.23 million a year earlier and down 10.3% from the prior quarter.
Powered by 
Analysis
Mimedx (MDXG) Receivables - Net (2010 - 2026) Analysis & Trends
At the end of FY2025, Receivables - Net at Mimedx came in at $75.71 million, up 35.6% from FY2024.
- Receivables - Net has now increased for six consecutive years, with a five-year compound annual growth rate of 16.4% (FY2020 to FY2025).
- In earlier years, Receivables - Net was $55.83 million in FY2024 (+3.6%), $53.87 million in FY2023 (+25.0%), $43.08 million in FY2022 (+6.8%) and $40.35 million in FY2021 (+13.9%).
- The Q2 2026 figure marks the lowest quarterly Receivables - Net since Q3 2022.
- Compared with a year earlier, Receivables - Net was higher in six of the last eight quarters, with growth averaging 8.5%.
- The best year-over-year quarter for Receivables - Net over five years was Q3 2025 (growth of 44.7%); the worst was Q2 2026 (a decline of 40.3%).
- Per Business Quant data, MDXG's Receivables - Net in the three quarters before Q2 2026 was $46.03 million (Q1 2026), $75.71 million (Q4 2025) and $78.19 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.30 Bn | 230.45 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 174.70 Bn | 145.78 Bn | 7.27 Bn |
| 3 | Danaher | 158.94 Bn | 142.76 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 145.87 Bn | 125.42 Bn | 1.96 Bn |
| 5 | Medtronic | 111.49 Bn | 77.36 Bn | 6.34 Bn |
| 6 | Stryker | 106.96 Bn | 93.08 Bn | 4.50 Bn |
| 7 | Boston Scientific | 63.62 Bn | 58.63 Bn | 3.85 Bn |
| 8 | Edwards Lifesciences | 50.80 Bn | 34.92 Bn | 1.35 Bn |
| 9 | Becton Dickinson | 49.59 Bn | 46.74 Bn | 2.32 Bn |
| 10 | Mimedx | 680.53 Mn | 76.72 Mn | 44.38 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 41.30 Mn |
| Mar 31, 2026 | 46.03 Mn |
| Dec 31, 2025 | 75.71 Mn |
| Sep 30, 2025 | 78.19 Mn |
| Jun 30, 2025 | 69.23 Mn |
| Mar 31, 2025 | 62.29 Mn |
| Dec 31, 2024 | 55.83 Mn |
| Sep 30, 2024 | 54.03 Mn |
| Jun 30, 2024 | 52.80 Mn |
| Mar 31, 2024 | 57.02 Mn |
| Dec 31, 2023 | 53.87 Mn |
| Sep 30, 2023 | 49.01 Mn |
| Jun 30, 2023 | 48.96 Mn |
| Mar 31, 2023 | 44.69 Mn |
| Dec 31, 2022 | 43.08 Mn |
| Sep 30, 2022 | 40.83 Mn |
| Jun 30, 2022 | 37.66 Mn |
| Mar 31, 2022 | 37.67 Mn |
| Dec 31, 2021 | 40.35 Mn |
| Sep 30, 2021 | 36.54 Mn |
API Access
Mimedx Receivables - Net 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=receivables-net&ticker=MDXG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables-net", "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=receivables-net&ticker=MDXG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();