Mimedx (MDXG) Change in Receivables (2010 - 2026)
Mimedx's Change in Receivables was -$1.76 million in Q3 2026, compared with $11.01 million a year earlier.
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Analysis
Mimedx (MDXG) Change in Receivables (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Mimedx's Change in Receivables was -$28.54 million through Sep 30, 2026; for FY2025, it was $26.39 million, up 934.2% from FY2024.
- Change in Receivables shows a five-year compound annual growth rate of 53.5% (FY2020 to FY2025).
- In earlier years, Change in Receivables was $2.55 million in FY2024 (-79.1%), $12.24 million in FY2023 (+106.1%), $5.94 million in FY2022 (-44.1%) and $10.62 million in FY2021 (+243.0%).
- Quarterly Change in Receivables has moved between -$28.21 million (Q1 2026) and $11.01 million (Q3 2025) over five years.
- Compared with a year earlier, Change in Receivables was higher in 1 of the last four quarters, with an average decline of 24.3%.
- The best year-over-year quarter for Change in Receivables over five years was Q4 2021 (growth of 299.3%); the worst was Q2 2026 (a decline of 92.5%).
- Per Business Quant data, MDXG's Change in Receivables in the three quarters before Q3 2026 was $545,000 (Q2 2026), -$28.21 million (Q1 2026) and $887,000 (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Receivables (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 | 476.00 Mn |
| 3 | Danaher | 166.16 Bn | 145.82 Bn | 3.84 Bn | 160.00 Mn |
| 4 | Intuitive Surgical | 155.98 Bn | 136.40 Bn | 2.08 Bn | 53.40 Mn |
| 5 | Medtronic | 130.05 Bn | 96.18 Bn | 6.34 Bn | -224.00 Mn |
| 6 | Stryker | 123.40 Bn | 109.59 Bn | 4.25 Bn | -53.00 Mn |
| 7 | Boston Scientific | 64.81 Bn | 60.48 Bn | 3.43 Bn | 69.00 Mn |
| 8 | Edwards Lifesciences | 59.87 Bn | 43.18 Bn | 1.35 Bn | 19.90 Mn |
| 9 | Medline | 53.84 Bn | 50.96 Bn | 1.93 Bn | 133.00 Mn |
| 10 | Mimedx | 491.77 Mn | -90.75 Mn | 49.70 Mn | -1.76 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | -1.76 Mn |
| Jun 30, 2026 | 545,000.00 |
| Mar 31, 2026 | -28.21 Mn |
| Dec 31, 2025 | 887,000.00 |
| Sep 30, 2025 | 11.01 Mn |
| Jun 30, 2025 | 7.29 Mn |
| Mar 31, 2025 | 7.20 Mn |
| Dec 31, 2024 | 2.25 Mn |
| Sep 30, 2024 | 953,000.00 |
| Jun 30, 2024 | -4.00 Mn |
| Mar 31, 2024 | 3.34 Mn |
| Dec 31, 2023 | 5.58 Mn |
| Sep 30, 2023 | 489,000.00 |
| Jun 30, 2023 | 4.62 Mn |
| Mar 31, 2023 | 1.55 Mn |
| Dec 31, 2022 | 2.64 Mn |
| Sep 30, 2022 | 3.60 Mn |
| Jun 30, 2022 | 2.38 Mn |
| Mar 31, 2022 | -2.68 Mn |
| Dec 31, 2021 | 9.51 Mn |
API Access
Mimedx Change in 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=change-in-receivables&ticker=MDXG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-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=change-in-receivables&ticker=MDXG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();