Zai Lab (ZLAB) Total Current Liabilities (2016 - 2026)
Zai Lab (ZLAB) recorded Total Current Liabilities of $428.58 million in Q2 2026, up 29.3% from $331.5 million a year earlier and up 9.1% from the prior quarter.
Zai Lab (ZLAB) Total Current Liabilities (2016 - 2026) Analysis & Trends
At the end of FY2025, Zai Lab reported Total Current Liabilities of $416.17 million, up 39.0% from FY2024.
- Annual Total Current Liabilities has increased for three straight years, with a five-year compound annual growth rate of 33.5% (FY2020 to FY2025).
- Across earlier years, Total Current Liabilities came in at $299.39 million in FY2024 (+47.4%), $203.07 million in FY2023 (+45.2%), $139.84 million in FY2022 (-27.5%) and $192.9 million in FY2021 (+96.8%).
- The Q2 2026 figure is the highest quarterly Total Current Liabilities in data going back to Q4 2016.
- On a year-over-year basis, Total Current Liabilities has increased for 11 consecutive quarters, with growth averaging 49.0% over the last eight quarters.
- Peak year-over-year performance for Total Current Liabilities in the last five years was growth of 129.2% in Q3 2024, against a decline of 27.5% in Q4 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $392.98 million (Q1 2026), $416.17 million (Q4 2025) and $359.77 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 54.90 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 41.64 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 27.73 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 31.75 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | -31.55 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 25.50 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 11.02 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 32.65 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 3.94 Bn |
| 10 | Zai Lab | 2.88 Bn | 198.00 Mn | 58.15 Mn | 428.58 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 428.58 Mn |
| Mar 31, 2026 | 392.98 Mn |
| Dec 31, 2025 | 416.17 Mn |
| Sep 30, 2025 | 359.77 Mn |
| Jun 30, 2025 | 331.50 Mn |
| Mar 31, 2025 | 319.81 Mn |
| Dec 31, 2024 | 299.39 Mn |
| Sep 30, 2024 | 286.32 Mn |
| Jun 30, 2024 | 251.72 Mn |
| Mar 31, 2024 | 192.11 Mn |
| Dec 31, 2023 | 203.07 Mn |
| Sep 30, 2023 | 124.90 Mn |
| Jun 30, 2023 | 133.35 Mn |
| Mar 31, 2023 | 124.56 Mn |
| Dec 31, 2022 | 139.84 Mn |
| Sep 30, 2022 | 155.55 Mn |
| Jun 30, 2022 | 168.88 Mn |
| Mar 31, 2022 | 154.91 Mn |
| Dec 31, 2021 | 192.90 Mn |
| Sep 30, 2021 | 112.01 Mn |
Zai Lab Total 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-current-liabilities&ticker=ZLAB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-liabilities", "ticker": "ZLAB", "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-current-liabilities&ticker=ZLAB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();