Liquidia (LQDA) Return on Capital Employed [ROCE] (2021 - 2026)
Liquidia (LQDA) posted Return on Capital Employed [ROCE] of 61.88% for Q2 2026, up 146.16 percentage points from -84.28% a year earlier and up 40.69 percentage points from the prior quarter.
Liquidia (LQDA) Return on Capital Employed [ROCE] (2021 - 2026) Analysis & Trends
For FY2025, Liquidia's Return on Capital Employed [ROCE] came in at -35.84%, up 55.68 percentage points from FY2024.
- Annual Return on Capital Employed [ROCE] shows a five-year change of +45.72 percentage points (FY2020 to FY2025).
- In prior years, Liquidia's Return on Capital Employed [ROCE] was -91.51% in FY2024 (-21.77 pp), -69.75% in FY2023 (-31.98 pp), -37.76% in FY2022 (+0.08 pp) and -37.85% in FY2021 (+43.71 pp).
- The Q2 2026 figure stands as the highest quarterly Return on Capital Employed [ROCE] in data going back to Q1 2021.
- On a year-over-year basis, Return on Capital Employed [ROCE] has increased in each of the last three quarters, with an average year-over-year change of +30.26 percentage points over the last eight quarters.
- The strongest year-over-year quarter for Return on Capital Employed [ROCE] in the past five years was Q2 2026, with a gain of 146.16 percentage points; the weakest was Q4 2023, with a drop of 44.34 percentage points.
- According to Business Quant data, Return on Capital Employed [ROCE] for the three prior quarters was 21.19% (Q1 2026), -30.91% (Q4 2025) and -65.51% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn | 46.74% |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn | 17.83% |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn | 17.92% |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn | 6.28% |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn | 19.32% |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn | 9.54% |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn | 16.66% |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn | -5.97% |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn | 11.86% |
| 10 | Liquidia | 2.55 Bn | 1.70 Bn | 160.13 Mn | 61.88% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 61.88% |
| Mar 31, 2026 | 21.19% |
| Dec 31, 2025 | -30.91% |
| Sep 30, 2025 | -65.51% |
| Jun 30, 2025 | -84.28% |
| Mar 31, 2025 | -75.98% |
| Dec 31, 2024 | -60.70% |
| Sep 30, 2024 | -61.57% |
| Jun 30, 2024 | -59.70% |
| Mar 31, 2024 | -68.45% |
| Dec 31, 2023 | -76.10% |
| Sep 30, 2023 | -51.16% |
| Jun 30, 2023 | -44.80% |
| Mar 31, 2023 | -27.43% |
| Dec 31, 2022 | -31.76% |
| Sep 30, 2022 | -33.99% |
| Jun 30, 2022 | -38.26% |
| Mar 31, 2022 | -45.85% |
| Dec 31, 2021 | -37.68% |
| Sep 30, 2021 | -40.25% |
Liquidia Return on Capital Employed [ROCE] 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-capital-employed-%5Broce%5D&ticker=LQDA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "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-capital-employed-%5Broce%5D&ticker=LQDA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();