Mimedx (MDXG) Receivables (2010 - 2026)
Mimedx's Receivables was $37.27 million in Q3 2026, down 52.3% from $78.19 million a year earlier and down 9.8% from the prior quarter.
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Analysis
Mimedx (MDXG) Receivables (2010 - 2026) Analysis & Trends
At the end of FY2025, Receivables at Mimedx came in at $75.71 million, up 35.6% from FY2024.
- Receivables has now increased for six consecutive years, with a five-year compound annual growth rate of 16.3% (FY2020 to FY2025).
- In earlier years, Receivables 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 (+13.3%).
- The Q3 2026 figure marks the lowest quarterly Receivables since Q3 2021.
- Compared with a year earlier, Receivables has declined for three straight quarters, with growth averaging 0.7% over the last eight quarters.
- The best year-over-year quarter for Receivables over five years was Q3 2025 (growth of 44.7%); the worst was Q3 2026 (a decline of 52.3%).
- Per Business Quant data, MDXG's Receivables in the three quarters before Q3 2026 was $41.3 million (Q2 2026), $46.03 million (Q1 2026) and $75.71 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 266.22 Bn | 242.86 Bn | 5.13 Bn | 11.32 Bn |
| 2 | Abbott Laboratories | 191.31 Bn | 165.77 Bn | 7.39 Bn | 9.03 Bn |
| 3 | Danaher | 166.16 Bn | 145.82 Bn | 3.84 Bn | 4.13 Bn |
| 4 | Intuitive Surgical | 155.98 Bn | 136.40 Bn | 2.08 Bn | 1.72 Bn |
| 5 | Medtronic | 130.05 Bn | 96.18 Bn | 6.34 Bn | 6.36 Bn |
| 6 | Stryker | 123.40 Bn | 109.59 Bn | 4.25 Bn | 3.69 Bn |
| 7 | Boston Scientific | 64.81 Bn | 60.48 Bn | 3.43 Bn | 3.11 Bn |
| 8 | Edwards Lifesciences | 59.87 Bn | 43.18 Bn | 1.35 Bn | 937.80 Mn |
| 9 | Medline | 53.84 Bn | 50.96 Bn | 1.93 Bn | 3.79 Bn |
| 10 | Mimedx | 491.77 Mn | -90.75 Mn | 49.70 Mn | 37.27 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 37.27 Mn |
| 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 |
API Access
Mimedx Receivables 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&ticker=MDXG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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&ticker=MDXG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();