MediWound (MDWD) Total Liabilities (2015 - 2026)
MediWound's Total Liabilities was $36.24 million in Q2 2026, down 22.7% from $46.88 million a year earlier and down 6.0% from the prior quarter.
Analysis
MediWound (MDWD) Total Liabilities (2015 - 2026) Analysis & Trends
At the end of FY2025, Total Liabilities at MediWound came in at $42.62 million, up 0.7% from FY2024.
- Total Liabilities shows a five-year compound annual growth rate of 12.4% (FY2020 to FY2025).
- In earlier years, Total Liabilities was $42.34 million in FY2024 (+21.5%), $34.86 million in FY2023 (-10.8%), $39.1 million in FY2022 (+60.7%) and $24.33 million in FY2021 (+2.2%).
- The Q2 2026 figure marks the lowest quarterly Total Liabilities since Q4 2023.
- Compared with a year earlier, Total Liabilities was higher in six of the last eight quarters, with growth averaging 5.7%.
- The best year-over-year quarter for Total Liabilities over five years was Q4 2022 (growth of 60.7%); the worst was Q2 2026 (a decline of 22.7%).
- Per Business Quant data, MDWD's Total Liabilities in the three quarters before Q2 2026 was $38.56 million (Q1 2026), $42.62 million (Q4 2025) and $44.27 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,136.97 Bn | 1,105.55 Bn | 19.71 Bn | 108.40 Bn |
| 2 | Johnson & Johnson | 619.72 Bn | 538.25 Bn | 17.26 Bn | 116.09 Bn |
| 3 | AbbVie | 503.40 Bn | 476.52 Bn | 12.70 Bn | 141.05 Bn |
| 4 | Merck | 370.15 Bn | 324.53 Bn | 12.21 Bn | 87.82 Bn |
| 5 | Novartis Ag | 298.64 Bn | 262.63 Bn | 11.24 Bn | 80.09 Bn |
| 6 | Astrazeneca | 261.07 Bn | 234.76 Bn | 12.86 Bn | 65.46 Bn |
| 7 | Amgen | 237.00 Bn | 192.40 Bn | 7.24 Bn | 83.95 Bn |
| 8 | Gilead Sciences | 191.24 Bn | 165.43 Bn | 6.22 Bn | 37.53 Bn |
| 9 | Pfizer | 170.31 Bn | 116.96 Bn | 10.94 Bn | 115.64 Bn |
| 10 | MediWound | 137.49 Mn | -25.44 Mn | 337,000.00 | 36.24 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 36.24 Mn |
| Mar 31, 2026 | 38.56 Mn |
| Dec 31, 2025 | 42.62 Mn |
| Sep 30, 2025 | 44.27 Mn |
| Jun 30, 2025 | 46.88 Mn |
| Mar 31, 2025 | 37.74 Mn |
| Dec 31, 2024 | 42.34 Mn |
| Sep 30, 2024 | 40.50 Mn |
| Jun 30, 2024 | 39.43 Mn |
| Mar 31, 2024 | 39.18 Mn |
| Dec 31, 2023 | 34.86 Mn |
| Sep 30, 2023 | 33.97 Mn |
| Jun 30, 2023 | 29.44 Mn |
| Mar 31, 2023 | 35.37 Mn |
| Dec 31, 2022 | 39.10 Mn |
| Sep 30, 2022 | 26.93 Mn |
| Jun 30, 2022 | 23.34 Mn |
| Mar 31, 2022 | 24.42 Mn |
| Dec 31, 2021 | 24.33 Mn |
| Sep 30, 2021 | 23.99 Mn |
API Access
MediWound 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=MDWD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-liabilities&ticker=MDWD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();