Mimedx (MDXG) Cash & Equivalents (2009 - 2026)
Mimedx (MDXG) posted Cash & Equivalents of $120.79 million for Q3 2026, down 15.0% from $142.08 million a year earlier and down 11.1% from the prior quarter.
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Analysis
Mimedx (MDXG) Cash & Equivalents (2009 - 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%).
- The Q3 2026 figure stands as the lowest quarterly Cash & Equivalents since Q2 2025.
- On a year-over-year basis, Cash & Equivalents increased in seven of the last eight quarters, with growth averaging 48.4%.
- 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 $135.84 million (Q2 2026), $159.77 million (Q1 2026) and $166.12 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 266.22 Bn | 242.86 Bn | 5.13 Bn | 5.46 Bn |
| 2 | Abbott Laboratories | 191.31 Bn | 165.77 Bn | 7.39 Bn | 4.05 Bn |
| 3 | Danaher | 166.16 Bn | 145.82 Bn | 3.84 Bn | 5.68 Bn |
| 4 | Intuitive Surgical | 155.98 Bn | 136.40 Bn | 2.08 Bn | 2.98 Bn |
| 5 | Medtronic | 130.05 Bn | 96.18 Bn | 6.34 Bn | 1.69 Bn |
| 6 | Stryker | 123.40 Bn | 109.59 Bn | 4.25 Bn | 3.27 Bn |
| 7 | Boston Scientific | 64.81 Bn | 60.48 Bn | 3.43 Bn | 609.00 Mn |
| 8 | Edwards Lifesciences | 59.87 Bn | 43.18 Bn | 1.35 Bn | 3.11 Bn |
| 9 | Medline | 53.84 Bn | 50.96 Bn | 1.93 Bn | 2.32 Bn |
| 10 | Mimedx | 491.77 Mn | -90.75 Mn | 49.70 Mn | 120.79 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 120.79 Mn |
| 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 |
| Sep 30, 2023 | 81.16 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 |
API Access
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_KEYimport 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();