Zymeworks (ZYME) Total Liabilities (2021 - 2026)
Zymeworks (ZYME) posted Total Liabilities of $316.6 million for Q2 2026, up 328.5% from $73.88 million a year earlier and up 0.6% from the prior quarter.
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Analysis
Zymeworks (ZYME) Total Liabilities (2021 - 2026) Analysis & Trends
At the end of FY2025, Zymeworks' Total Liabilities came in at $78.03 million, down 37.2% from FY2024.
- Annual Total Liabilities shows a four-year compound annual growth rate of -13.6% (FY2021 to FY2025).
- In prior years, Zymeworks' Total Liabilities was $124.32 million in FY2024 (+7.1%), $116.07 million in FY2023 (-25.5%), $155.77 million in FY2022 (+11.2%) and $140.04 million in FY2021.
- The Q2 2026 figure stands as the highest quarterly Total Liabilities in data going back to Q4 2021.
- On a year-over-year basis, Total Liabilities increased in three of the last eight quarters, with growth averaging 52.6%.
- The strongest year-over-year quarter for Total Liabilities in the past five years was Q2 2026, with growth of 328.5%; the weakest was Q4 2025, with a decline of 37.2%.
- According to Business Quant data, Total Liabilities for the three prior quarters was $314.63 million (Q1 2026), $78.03 million (Q4 2025) and $77.21 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 116.09 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 141.05 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 87.82 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 80.09 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | 65.46 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 83.95 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 37.53 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 115.64 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 7.18 Bn |
| 10 | Zymeworks | 1.94 Bn | 820.54 Mn | - | 316.60 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 316.60 Mn |
| Mar 31, 2026 | 314.63 Mn |
| Dec 31, 2025 | 78.03 Mn |
| Sep 30, 2025 | 77.21 Mn |
| Jun 30, 2025 | 73.88 Mn |
| Mar 31, 2025 | 100.56 Mn |
| Dec 31, 2024 | 124.32 Mn |
| Sep 30, 2024 | 120.17 Mn |
| Jun 30, 2024 | 109.47 Mn |
| Mar 31, 2024 | 115.75 Mn |
| Dec 31, 2023 | 116.07 Mn |
| Sep 30, 2023 | 132.02 Mn |
| Jun 30, 2023 | 153.14 Mn |
| Mar 31, 2023 | 127.21 Mn |
| Dec 31, 2022 | 155.77 Mn |
| Sep 30, 2022 | 120.51 Mn |
| Dec 31, 2021 | 140.04 Mn |
API Access
Zymeworks 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=ZYME&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "ZYME", "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=ZYME&period=max&api_key=YOUR_API_KEY");
const data = await res.json();