Zai Lab (ZLAB) Operating Expenses (2018 - 2026)
Zai Lab (ZLAB) recorded Operating Expenses of $134.64 million in Q2 2026, up 10.7% from $121.65 million a year earlier and up 3.0% from the prior quarter.
Zai Lab (ZLAB) Operating Expenses (2018 - 2026) Analysis & Trends
On a TTM basis, Zai Lab's Operating Expenses came in at $518.01 million as of Jun 30, 2026, up 0.8% year-over-year; for FY2025, it came in at $498.51 million, down 6.5% from FY2024.
- Annual Operating Expenses has a five-year compound annual growth rate of 8.3% (FY2020 to FY2025).
- Across earlier years, Operating Expenses came in at $533.25 million in FY2024 (-2.6%), $547.48 million in FY2023 (+0.4%), $545.38 million in FY2022 (-31.2%) and $792.14 million in FY2021 (+137.2%).
- Quarterly Operating Expenses has ranged from $110.85 million in Q1 2022 to $241.66 million in Q4 2021 over the past five years.
- On a year-over-year basis, Operating Expenses rose in four of the last eight quarters, with an average decline of 2.8%.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 133.4% in Q4 2021, against a decline of 53.8% in Q1 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $130.66 million (Q1 2026), $134.67 million (Q4 2025) and $118.03 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,146.94 Bn | 1,115.53 Bn | 19.71 Bn | 7.95 Bn |
| 2 | Johnson & Johnson | 624.96 Bn | 543.49 Bn | 17.26 Bn | 10.12 Bn |
| 3 | AbbVie | 510.15 Bn | 483.27 Bn | 12.70 Bn | 10.56 Bn |
| 4 | Merck | 366.13 Bn | 320.51 Bn | 12.21 Bn | 12.80 Bn |
| 5 | Novartis Ag | 297.75 Bn | 261.74 Bn | 11.24 Bn | 6.09 Bn |
| 6 | Astrazeneca | 261.93 Bn | 235.62 Bn | 12.86 Bn | 9.70 Bn |
| 7 | Amgen | 236.51 Bn | 191.91 Bn | 7.24 Bn | 6.54 Bn |
| 8 | Gilead Sciences | 194.27 Bn | 168.47 Bn | 6.22 Bn | 18.20 Bn |
| 9 | Pfizer | 171.74 Bn | 118.39 Bn | 10.94 Bn | 6.68 Bn |
| 10 | Zai Lab | 2.80 Bn | 113.29 Mn | 58.15 Mn | 134.64 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 134.64 Mn |
| Mar 31, 2026 | 130.66 Mn |
| Dec 31, 2025 | 134.67 Mn |
| Sep 30, 2025 | 118.03 Mn |
| Jun 30, 2025 | 121.65 Mn |
| Mar 31, 2025 | 124.15 Mn |
| Dec 31, 2024 | 134.87 Mn |
| Sep 30, 2024 | 133.20 Mn |
| Jun 30, 2024 | 141.34 Mn |
| Mar 31, 2024 | 123.84 Mn |
| Dec 31, 2023 | 164.57 Mn |
| Sep 30, 2023 | 127.32 Mn |
| Jun 30, 2023 | 144.60 Mn |
| Mar 31, 2023 | 110.98 Mn |
| Dec 31, 2022 | 138.97 Mn |
| Sep 30, 2022 | 166.08 Mn |
| Jun 30, 2022 | 129.49 Mn |
| Mar 31, 2022 | 110.85 Mn |
| Dec 31, 2021 | 241.66 Mn |
| Sep 30, 2021 | 114.15 Mn |
Zai Lab Operating Expenses 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=operating-expenses&ticker=ZLAB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=ZLAB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();