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 | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn | 51.16% |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn | 28.21% |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn | 37.86% |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn | -3.52% |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn | 32.97% |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn | 20.57% |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn | 34.95% |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn | -133.21% |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn | 28.37% |
| 10 | Liquidia | 2.55 Bn | 1.70 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();