Liquidia (LQDA) Operating Margin (2020 - 2026)
Liquidia (LQDA) recorded Operating Margin of 49.81% in Q2 2026, up 474.22 percentage points from -424.41% a year earlier and up 3.52 percentage points from the prior quarter.
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Analysis
Liquidia (LQDA) Operating Margin (2020 - 2026) Analysis & Trends
On a TTM basis, Liquidia's Operating Margin came in at 37.39% as of Jun 30, 2026, up 752.77 percentage points year-over-year; for FY2025, it was -32.45%, up 834.18 percentage points from FY2024.
- Annual Operating Margin has a five-year change of +7956.58 percentage points (FY2020 to FY2025).
- Across earlier years, Operating Margin came in at -866.63% in FY2024 (-447.01 pp), -419.62% in FY2023 (-176.32 pp), -243.30% in FY2022 (+19.65 pp) and -262.95% in FY2021 (+7726.08 pp).
- The Q2 2026 figure is the highest quarterly Operating Margin in data going back to Q4 2020.
- On a year-over-year basis, Operating Margin has increased for five consecutive quarters, with an average year-over-year change of +352.69 percentage points over the last eight quarters.
- Peak year-over-year performance for Operating Margin in the last five years was a gain of 1798.16 percentage points in Q4 2021, against a drop of 763.60 percentage points in Q1 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at 46.29% (Q1 2026), 21.50% (Q4 2025) and 3.25% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Operating Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 28.21% |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | 37.86% |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | -3.52% |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | 32.97% |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | 20.57% |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 34.95% |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | -133.21% |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | 28.37% |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | 37.40% |
| 10 | Liquidia | 2.70 Bn | 1.84 Bn | 160.13 Mn | 49.81% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 49.81% |
| Mar 31, 2026 | 46.29% |
| Dec 31, 2025 | 21.50% |
| Sep 30, 2025 | 3.25% |
| Jun 30, 2025 | -424.41% |
| Mar 31, 2025 | -1,135.42% |
| Dec 31, 2024 | -1,237.81% |
| Sep 30, 2024 | -656.23% |
| Jun 30, 2024 | -743.29% |
| Mar 31, 2024 | -969.08% |
| Dec 31, 2023 | -583.45% |
| Sep 30, 2023 | -404.87% |
| Jun 30, 2023 | -476.91% |
| Mar 31, 2023 | -205.48% |
| Dec 31, 2022 | -121.21% |
| Sep 30, 2022 | -279.02% |
| Jun 30, 2022 | -228.94% |
| Mar 31, 2022 | -414.43% |
| Dec 31, 2021 | -353.41% |
| Sep 30, 2021 | -222.71% |
API Access
Liquidia Operating Margin 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-margin&ticker=LQDA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-margin", "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=operating-margin&ticker=LQDA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();