Zymeworks (ZYME) Total Non-Current Liabilities (2021 - 2026)
Zymeworks' Total Non-Current Liabilities came in at $316.32 million for Q2 2026, up 333.0% from $73.05 million a year earlier and up 0.6% from the prior quarter.
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Analysis
Zymeworks (ZYME) Total Non-Current Liabilities (2021 - 2026) Analysis & Trends
At the end of FY2025, Zymeworks' Total Non-Current Liabilities was $77.75 million, down 37.0% from FY2024.
- Total Non-Current Liabilities carries a four-year compound annual growth rate of -13.3% (FY2021 to FY2025).
- Going back by year, Total Non-Current Liabilities was $123.4 million in FY2024 (+7.9%), $114.37 million in FY2023 (-25.1%), $152.67 million in FY2022 (+11.2%) and $137.29 million in FY2021.
- The Q2 2026 figure represents the highest quarterly Total Non-Current Liabilities in data going back to Q4 2021.
- Year-over-year, Total Non-Current Liabilities increased in three of the last eight quarters, with growth averaging 53.8%.
- The fastest year-over-year change in Total Non-Current Liabilities over five years came in Q2 2026 (growth of 333.0%), and the weakest in Q4 2025 (a decline of 37.0%).
- Business Quant data shows ZYME's Total Non-Current Liabilities at $314.35 million (Q1 2026), $77.75 million (Q4 2025) and $76.93 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 105.99 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 106.45 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 80.25 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 48.34 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | -967.00 Mn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 81.11 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 36.04 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 100.86 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 5.92 Bn |
| 10 | Zymeworks | 1.94 Bn | 820.54 Mn | - | 316.32 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 316.32 Mn |
| Mar 31, 2026 | 314.35 Mn |
| Dec 31, 2025 | 77.75 Mn |
| Sep 30, 2025 | 76.93 Mn |
| Jun 30, 2025 | 73.05 Mn |
| Mar 31, 2025 | 99.70 Mn |
| Dec 31, 2024 | 123.40 Mn |
| Sep 30, 2024 | 119.25 Mn |
| Jun 30, 2024 | 108.24 Mn |
| Mar 31, 2024 | 114.16 Mn |
| Dec 31, 2023 | 114.37 Mn |
| Sep 30, 2023 | 130.16 Mn |
| Jun 30, 2023 | 149.54 Mn |
| Mar 31, 2023 | 123.61 Mn |
| Dec 31, 2022 | 152.67 Mn |
| Sep 30, 2022 | 117.57 Mn |
| Dec 31, 2021 | 137.29 Mn |
API Access
Zymeworks 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=ZYME&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-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-non-current-liabilities&ticker=ZYME&period=max&api_key=YOUR_API_KEY");
const data = await res.json();