Liquidia (LQDA) Return on Sales [ROS] (2020 - 2026)
Liquidia's Return on Sales [ROS] was 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) Return on Sales [ROS] (2020 - 2026) Analysis & Trends
On a trailing twelve-month basis, Liquidia's Return on Sales [ROS] was 37.39% through Jun 30, 2026, up 752.77 percentage points year-over-year; for FY2025, it came in at -32.45%, up 834.18 percentage points from FY2024.
- Return on Sales [ROS] shows a five-year change of +7956.58 percentage points (FY2020 to FY2025).
- In earlier years, Return on Sales [ROS] was -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 marks the highest quarterly Return on Sales [ROS] in data going back to Q4 2020.
- Compared with a year earlier, Return on Sales [ROS] has increased for five straight quarters, with an average year-over-year change of +352.69 percentage points over the last eight quarters.
- The best year-over-year quarter for Return on Sales [ROS] over five years was Q4 2021 (a gain of 1798.16 percentage points); the worst was Q1 2024 (a drop of 763.60 percentage points).
- Per Business Quant data, LQDA's Return on Sales [ROS] in the three quarters before Q2 2026 was 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) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,261.99 Bn | 1,235.61 Bn | 20.46 Bn | 52.42% |
| 2 | Johnson & Johnson | 678.93 Bn | 598.79 Bn | 17.30 Bn | 24.35% |
| 3 | AbbVie | 518.29 Bn | 486.30 Bn | 13.12 Bn | 36.01% |
| 4 | Merck | 365.98 Bn | 328.92 Bn | 13.19 Bn | 30.89% |
| 5 | Novartis Ag | 316.85 Bn | 290.09 Bn | - | - |
| 6 | Astrazeneca | 293.40 Bn | 267.29 Bn | 13.26 Bn | 29.12% |
| 7 | Amgen | 251.78 Bn | 203.43 Bn | 7.58 Bn | 35.79% |
| 8 | Gilead Sciences | 210.61 Bn | 185.71 Bn | 6.73 Bn | 41.71% |
| 9 | Pfizer | 166.87 Bn | 114.23 Bn | 12.56 Bn | 32.98% |
| 10 | Liquidia | 4.27 Bn | 3.41 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 Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=LQDA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=LQDA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();