Mimedx (MDXG) Cash & Equivalents (2010 - 2026)
Mimedx (MDXG) posted Cash & Equivalents of $135.84 million for Q2 2026, up 14.3% from $118.87 million a year earlier but down 15.0% from the prior quarter.
Mimedx (MDXG) Cash & Equivalents (2010 - 2026) Analysis & Trends
At the end of FY2025, Mimedx's Cash & Equivalents came in at $166.12 million, up 59.1% from FY2024.
- Annual Cash & Equivalents has increased for three consecutive years, with a five-year compound annual growth rate of 11.6% (FY2020 to FY2025).
- In prior years, Mimedx's Cash & Equivalents was $104.42 million in FY2024 (+27.3%), $82 million in FY2023 (+24.3%), $65.95 million in FY2022 (-24.3%) and $87.08 million in FY2021 (-9.1%).
- Quarterly Cash & Equivalents has run from a low of $48.49 million in Q1 2024 to a high of $166.12 million in Q4 2025 over five years.
- On a year-over-year basis, Cash & Equivalents has increased in each of the last seven quarters, with growth averaging 57.5% over the last seven quarters.
- The strongest year-over-year quarter for Cash & Equivalents in the past five years was Q1 2025, with growth of 119.5%; the weakest was Q4 2022, with a decline of 24.3%.
- According to Business Quant data, Cash & Equivalents for the three prior quarters was $159.77 million (Q1 2026), $166.12 million (Q4 2025) and $142.08 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 242.18 Bn | 221.33 Bn | 4.88 Bn | 4.06 Bn |
| 2 | Abbott Laboratories | 168.71 Bn | 139.79 Bn | 7.27 Bn | 5.10 Bn |
| 3 | Danaher | 150.46 Bn | 134.27 Bn | 3.61 Bn | 4.35 Bn |
| 4 | Intuitive Surgical | 138.71 Bn | 118.26 Bn | 1.96 Bn | 2.76 Bn |
| 5 | Medtronic | 110.54 Bn | 76.41 Bn | 6.34 Bn | 1.69 Bn |
| 6 | Stryker | 105.66 Bn | 91.78 Bn | 4.50 Bn | 3.39 Bn |
| 7 | Boston Scientific | 61.74 Bn | 56.75 Bn | 3.85 Bn | 539.00 Mn |
| 8 | Edwards Lifesciences | 49.09 Bn | 33.21 Bn | 1.35 Bn | 2.91 Bn |
| 9 | Becton Dickinson | 48.16 Bn | 45.31 Bn | 2.32 Bn | 708.00 Mn |
| 10 | Mimedx | 668.88 Mn | 65.06 Mn | 44.38 Mn | 135.84 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 135.84 Mn |
| Mar 31, 2026 | 159.77 Mn |
| Dec 31, 2025 | 166.12 Mn |
| Sep 30, 2025 | 142.08 Mn |
| Jun 30, 2025 | 118.87 Mn |
| Mar 31, 2025 | 106.43 Mn |
| Dec 31, 2024 | 104.42 Mn |
| Sep 30, 2024 | 88.80 Mn |
| Jun 30, 2024 | 69.04 Mn |
| Mar 31, 2024 | 48.49 Mn |
| Dec 31, 2023 | 82.00 Mn |
| Jun 30, 2023 | 68.65 Mn |
| Mar 31, 2023 | 61.22 Mn |
| Dec 31, 2022 | 65.95 Mn |
| Sep 30, 2022 | 73.22 Mn |
| Jun 30, 2022 | 72.50 Mn |
| Mar 31, 2022 | 75.68 Mn |
| Dec 31, 2021 | 87.08 Mn |
| Sep 30, 2021 | 90.61 Mn |
| Jun 30, 2021 | 85.01 Mn |
Mimedx Cash & Equivalents 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=cash-and-equivalents&ticker=MDXG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=MDXG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();