Mimedx (MDXG) Total Current Liabilities (2010 - 2026)
Mimedx (MDXG) recorded Total Current Liabilities of $38.5 million in Q2 2026, down 23.4% from $50.29 million a year earlier and down 13.6% from the prior quarter.
Mimedx (MDXG) Total Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Mimedx reported Total Current Liabilities of $64.27 million, up 40.9% from FY2024.
- Annual Total Current Liabilities has a five-year compound annual growth rate of 1.7% (FY2020 to FY2025).
- Across earlier years, Total Current Liabilities came in at $45.6 million in FY2024 (-0.9%), $46.01 million in FY2023 (+5.6%), $43.56 million in FY2022 (+2.8%) and $42.36 million in FY2021 (-28.4%).
- The Q2 2026 figure is the lowest quarterly Total Current Liabilities since Q2 2022.
- On a year-over-year basis, Total Current Liabilities rose in five of the last eight quarters, with growth averaging 10.2%.
- Peak year-over-year performance for Total Current Liabilities in the last five years was growth of 40.9% in Q4 2025, against a decline of 34.0% in Q1 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $44.55 million (Q1 2026), $64.27 million (Q4 2025) and $57.68 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.30 Bn | 230.45 Bn | 4.88 Bn | 15.07 Bn |
| 2 | Abbott Laboratories | 174.70 Bn | 145.78 Bn | 7.27 Bn | 17.81 Bn |
| 3 | Danaher | 158.94 Bn | 142.76 Bn | 3.61 Bn | 8.11 Bn |
| 4 | Intuitive Surgical | 145.87 Bn | 125.42 Bn | 1.96 Bn | 1.92 Bn |
| 5 | Medtronic | 111.49 Bn | 77.36 Bn | 6.34 Bn | 11.80 Bn |
| 6 | Stryker | 106.96 Bn | 93.08 Bn | 4.50 Bn | 6.68 Bn |
| 7 | Boston Scientific | 63.62 Bn | 58.63 Bn | 3.85 Bn | 6.43 Bn |
| 8 | Edwards Lifesciences | 50.80 Bn | 34.92 Bn | 1.35 Bn | 1.51 Bn |
| 9 | Becton Dickinson | 49.59 Bn | 46.74 Bn | 2.32 Bn | 9.40 Bn |
| 10 | Mimedx | 680.53 Mn | 76.72 Mn | 44.38 Mn | 38.50 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 38.50 Mn |
| Mar 31, 2026 | 44.55 Mn |
| Dec 31, 2025 | 64.27 Mn |
| Sep 30, 2025 | 57.68 Mn |
| Jun 30, 2025 | 50.29 Mn |
| Mar 31, 2025 | 42.62 Mn |
| Dec 31, 2024 | 45.60 Mn |
| Sep 30, 2024 | 41.94 Mn |
| Jun 30, 2024 | 40.01 Mn |
| Mar 31, 2024 | 42.22 Mn |
| Dec 31, 2023 | 46.01 Mn |
| Sep 30, 2023 | 43.63 Mn |
| Jun 30, 2023 | 44.46 Mn |
| Mar 31, 2023 | 40.87 Mn |
| Dec 31, 2022 | 43.56 Mn |
| Sep 30, 2022 | 45.86 Mn |
| Jun 30, 2022 | 37.14 Mn |
| Mar 31, 2022 | 36.59 Mn |
| Dec 31, 2021 | 42.36 Mn |
| Sep 30, 2021 | 41.75 Mn |
Mimedx Total Current 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-current-liabilities&ticker=MDXG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-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-current-liabilities&ticker=MDXG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();