Zai Lab (ZLAB) Selling, General & Administrative (2018 - 2026)
Zai Lab's Selling, General & Administrative was $72.87 million in Q2 2026, up 2.6% from $71.04 million a year earlier and up 12.0% from the prior quarter.
Zai Lab (ZLAB) Selling, General & Administrative (2018 - 2026) Analysis & Trends
On a trailing twelve-month basis, Zai Lab's Selling, General & Administrative was $281.09 million through Jun 30, 2026, down 1.1% year-over-year; for FY2025, it was $277.61 million, down 7.1% from FY2024.
- Selling, General & Administrative shows a five-year compound annual growth rate of 20.1% (FY2020 to FY2025).
- In earlier years, Selling, General & Administrative was $298.74 million in FY2024 (+6.1%), $281.61 million in FY2023 (+8.7%), $258.97 million in FY2022 (+18.3%) and $218.83 million in FY2021 (+96.6%).
- Quarterly Selling, General & Administrative has moved between $56.99 million (Q1 2022) and $82.63 million (Q4 2023) over five years.
- Compared with a year earlier, Selling, General & Administrative was higher in three of the last eight quarters, with an average decline of 2.9%.
- The best year-over-year quarter for Selling, General & Administrative over five years was Q3 2021 (growth of 111.7%); the worst was Q4 2025 (a decline of 11.6%).
- Per Business Quant data, ZLAB's Selling, General & Administrative in the three quarters before Q2 2026 was $65.07 million (Q1 2026), $73.04 million (Q4 2025) and $70.11 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,082.65 Bn | 1,051.23 Bn | 19.71 Bn | 3.43 Bn |
| 2 | Johnson & Johnson | 623.68 Bn | 542.21 Bn | 17.26 Bn | 6.43 Bn |
| 3 | AbbVie | 459.43 Bn | 432.59 Bn | 12.70 Bn | 3.63 Bn |
| 4 | Merck | 354.80 Bn | 309.23 Bn | 12.21 Bn | 2.90 Bn |
| 5 | Novartis Ag | 269.16 Bn | 225.03 Bn | 11.24 Bn | -3.24 Bn |
| 6 | Astrazeneca | 244.40 Bn | 217.97 Bn | 12.86 Bn | -5.65 Bn |
| 7 | Amgen | 220.17 Bn | 175.57 Bn | 7.24 Bn | 1.75 Bn |
| 8 | Gilead Sciences | 183.05 Bn | 157.16 Bn | 6.22 Bn | 1.92 Bn |
| 9 | Pfizer | 160.27 Bn | 107.22 Bn | 10.94 Bn | 3.41 Bn |
| 10 | Zai Lab | 2.86 Bn | 176.67 Mn | 58.15 Mn | 72.87 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 72.87 Mn |
| Mar 31, 2026 | 65.07 Mn |
| Dec 31, 2025 | 73.04 Mn |
| Sep 30, 2025 | 70.11 Mn |
| Jun 30, 2025 | 71.04 Mn |
| Mar 31, 2025 | 63.42 Mn |
| Dec 31, 2024 | 82.62 Mn |
| Sep 30, 2024 | 67.22 Mn |
| Jun 30, 2024 | 79.71 Mn |
| Mar 31, 2024 | 69.19 Mn |
| Dec 31, 2023 | 82.63 Mn |
| Sep 30, 2023 | 68.55 Mn |
| Jun 30, 2023 | 67.92 Mn |
| Mar 31, 2023 | 62.51 Mn |
| Dec 31, 2022 | 72.02 Mn |
| Sep 30, 2022 | 66.56 Mn |
| Jun 30, 2022 | 63.40 Mn |
| Mar 31, 2022 | 56.99 Mn |
| Dec 31, 2021 | 69.58 Mn |
| Sep 30, 2021 | 59.00 Mn |
Zai Lab Selling, General & Administrative 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=selling-general-and-administrative&ticker=ZLAB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=ZLAB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();