Mimedx (MDXG) Total Liabilities (2009 - 2026)
Mimedx's Total Liabilities was $53.47 million in Q3 2026, down 33.2% from $80.04 million a year earlier and down 17.7% from the prior quarter.
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Analysis
Mimedx (MDXG) Total Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Total Liabilities at Mimedx came in at $86.11 million, up 21.6% from FY2024.
- Total Liabilities shows a five-year compound annual growth rate of -15.7% (FY2020 to FY2025).
- In earlier years, Total Liabilities was $70.81 million in FY2024 (-26.5%), $96.33 million in FY2023 (-49.1%), $189.42 million in FY2022 (+0.8%) and $187.85 million in FY2021 (-7.1%).
- The Q3 2026 figure marks the lowest quarterly Total Liabilities since Q4 2017.
- Compared with a year earlier, Total Liabilities has declined for three straight quarters, with an average decline of 0.5% over the last eight quarters.
- The best year-over-year quarter for Total Liabilities over five years was Q3 2025 (growth of 27.3%); the worst was Q2 2024 (a decline of 67.1%).
- Per Business Quant data, MDXG's Total Liabilities in the three quarters before Q3 2026 was $65 million (Q2 2026), $65.74 million (Q1 2026) and $86.11 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 266.22 Bn | 242.86 Bn | 5.13 Bn | 59.47 Bn |
| 2 | Abbott Laboratories | 191.31 Bn | 165.77 Bn | 7.39 Bn | 56.62 Bn |
| 3 | Danaher | 166.16 Bn | 145.82 Bn | 3.84 Bn | 39.65 Bn |
| 4 | Intuitive Surgical | 155.98 Bn | 136.40 Bn | 2.08 Bn | 3.23 Bn |
| 5 | Medtronic | 130.05 Bn | 96.18 Bn | 6.34 Bn | 42.46 Bn |
| 6 | Stryker | 123.40 Bn | 109.59 Bn | 4.25 Bn | 23.79 Bn |
| 7 | Boston Scientific | 64.81 Bn | 60.48 Bn | 3.43 Bn | 19.59 Bn |
| 8 | Edwards Lifesciences | 59.87 Bn | 43.18 Bn | 1.35 Bn | 3.18 Bn |
| 9 | Medline | 53.84 Bn | 50.96 Bn | 1.93 Bn | 20.79 Bn |
| 10 | Mimedx | 491.77 Mn | -90.75 Mn | 49.70 Mn | 53.47 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 53.47 Mn |
| Jun 30, 2026 | 65.00 Mn |
| Mar 31, 2026 | 65.74 Mn |
| Dec 31, 2025 | 86.11 Mn |
| Sep 30, 2025 | 80.04 Mn |
| Jun 30, 2025 | 74.49 Mn |
| Mar 31, 2025 | 67.64 Mn |
| Dec 31, 2024 | 70.81 Mn |
| Sep 30, 2024 | 62.88 Mn |
| Jun 30, 2024 | 62.14 Mn |
| Mar 31, 2024 | 65.95 Mn |
| Dec 31, 2023 | 96.33 Mn |
| Sep 30, 2023 | 187.69 Mn |
| Jun 30, 2023 | 189.04 Mn |
| Mar 31, 2023 | 186.11 Mn |
| Dec 31, 2022 | 189.42 Mn |
| Sep 30, 2022 | 192.32 Mn |
| Jun 30, 2022 | 182.27 Mn |
| Mar 31, 2022 | 181.88 Mn |
| Dec 31, 2021 | 187.85 Mn |
API Access
Mimedx Total Liabilities 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=total-liabilities&ticker=MDXG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=MDXG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();