Liquidia (LQDA) EPS (Basic) (2020 - 2026)
Liquidia's EPS (Basic) was $0.84 in Q2 2026, compared with -$0.49 a year earlier and up 40.0% from the prior quarter.
Analysis
Liquidia (LQDA) EPS (Basic) (2020 - 2026) Analysis & Trends
On a trailing twelve-month basis, Liquidia's EPS (Basic) was $1.56 through Jun 30, 2026; for FY2025, it was -$0.80.
- In earlier years, EPS (Basic) was -$1.63 in FY2024, -$1.21 in FY2023, -$0.67 in FY2022 and -$0.70 in FY2021.
- The Q2 2026 figure marks the highest quarterly EPS (Basic) in data going back to Q1 2020.
- Per Business Quant data, LQDA's EPS (Basic) in the three quarters before Q2 2026 was $0.60 (Q1 2026), $0.17 (Q4 2025) and -$0.04 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Basic) (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 2.30 |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 2.04 |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | -0.54 |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 1.68 |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | 1.87 |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 4.40 |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | -8.44 |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | -0.04 |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 4.34 |
| 10 | Liquidia | 6.56 Bn | 5.71 Bn | 160.13 Mn | 0.84 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 0.84 |
| Mar 31, 2026 | 0.60 |
| Dec 31, 2025 | 0.17 |
| Sep 30, 2025 | -0.04 |
| Jun 30, 2025 | -0.49 |
| Mar 31, 2025 | -0.45 |
| Dec 31, 2024 | -0.49 |
| Sep 30, 2024 | -0.40 |
| Jun 30, 2024 | -0.38 |
| Mar 31, 2024 | -0.40 |
| Dec 31, 2023 | -0.42 |
| Sep 30, 2023 | -0.24 |
| Jun 30, 2023 | -0.36 |
| Mar 31, 2023 | -0.18 |
| Dec 31, 2022 | -0.11 |
| Sep 30, 2022 | -0.14 |
| Jun 30, 2022 | -0.15 |
| Mar 31, 2022 | -0.30 |
| Dec 31, 2021 | -0.23 |
| Sep 30, 2021 | -0.14 |
API Access
Liquidia EPS (Basic) 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=eps-basic&ticker=LQDA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-basic", "ticker": "LQDA", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=eps-basic&ticker=LQDA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();