MediWound (MDWD) Total Non-Current Liabilities (2015 - 2026)
MediWound (MDWD) reported Total Non-Current Liabilities of $17.69 million for Q2 2026, down 0.7% from $17.81 million a year earlier but up 4.6% from the prior quarter.
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Analysis
MediWound (MDWD) Total Non-Current Liabilities (2015 - 2026) Analysis & Trends
At the end of FY2025, MediWound posted Total Non-Current Liabilities of $16.92 million, up 7.0% from FY2024.
- Total Non-Current Liabilities has a five-year compound annual growth rate of 1.7% (FY2020 to FY2025).
- By year, Total Non-Current Liabilities came in at $15.8 million in FY2024 (-5.6%), $16.74 million in FY2023 (-38.1%), $27.05 million in FY2022 (+98.8%) and $13.61 million in FY2021 (-12.4%).
- Five-year quarterly Total Non-Current Liabilities spans a low of $11.43 million in Q1 2023 and a high of $27.05 million in Q4 2022.
- Year over year, Total Non-Current Liabilities gained in four of the last eight quarters, with growth averaging 2.2%.
- The high point for year-over-year Total Non-Current Liabilities in five years was Q4 2022 (growth of 98.8%); the low point was Q4 2023 (a decline of 38.1%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $16.91 million (Q1 2026), $16.92 million (Q4 2025) and $18.01 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,136.97 Bn | 1,105.55 Bn | 19.71 Bn | 60.66 Bn |
| 2 | Johnson & Johnson | 619.72 Bn | 538.25 Bn | 17.26 Bn | 105.50 Bn |
| 3 | AbbVie | 503.40 Bn | 476.52 Bn | 12.70 Bn | 106.45 Bn |
| 4 | Merck | 370.15 Bn | 324.53 Bn | 12.21 Bn | 80.25 Bn |
| 5 | Novartis Ag | 298.64 Bn | 262.63 Bn | 11.24 Bn | 48.34 Bn |
| 6 | Astrazeneca | 261.07 Bn | 234.76 Bn | 12.86 Bn | 33.91 Bn |
| 7 | Amgen | 237.00 Bn | 192.40 Bn | 7.24 Bn | 78.66 Bn |
| 8 | Gilead Sciences | 191.24 Bn | 165.43 Bn | 6.22 Bn | 35.10 Bn |
| 9 | Pfizer | 170.31 Bn | 116.96 Bn | 10.94 Bn | 97.04 Bn |
| 10 | MediWound | 137.49 Mn | -25.44 Mn | 337,000.00 | 17.69 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 17.69 Mn |
| Mar 31, 2026 | 16.91 Mn |
| Dec 31, 2025 | 16.92 Mn |
| Sep 30, 2025 | 18.01 Mn |
| Jun 30, 2025 | 17.81 Mn |
| Mar 31, 2025 | 15.90 Mn |
| Dec 31, 2024 | 15.80 Mn |
| Sep 30, 2024 | 14.92 Mn |
| Jun 30, 2024 | 16.82 Mn |
| Mar 31, 2024 | 16.84 Mn |
| Dec 31, 2023 | 16.74 Mn |
| Sep 30, 2023 | 16.63 Mn |
| Jun 30, 2023 | 11.45 Mn |
| Mar 31, 2023 | 11.43 Mn |
| Dec 31, 2022 | 27.05 Mn |
| Sep 30, 2022 | 17.92 Mn |
| Jun 30, 2022 | 12.93 Mn |
| Mar 31, 2022 | 13.17 Mn |
| Dec 31, 2021 | 13.61 Mn |
| Sep 30, 2021 | 14.03 Mn |
API Access
MediWound Total Non-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-non-current-liabilities&ticker=MDWD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "MDWD", "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-non-current-liabilities&ticker=MDWD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();