Aligos Therapeutics (ALGS) Return on Capital Employed [ROCE] (2020 - 2026)
Aligos Therapeutics (ALGS) reported Return on Capital Employed [ROCE] of -212.92% for Q2 2026, down 148.81 percentage points from -64.12% a year earlier and down 33.17 percentage points from the prior quarter.
Aligos Therapeutics (ALGS) Return on Capital Employed [ROCE] (2020 - 2026) Analysis & Trends
For FY2025, Aligos Therapeutics posted Return on Capital Employed [ROCE] of -151.49%, down 51.40 percentage points from FY2024.
- Return on Capital Employed [ROCE] has declined for five consecutive years, with a five-year change of -95.79 percentage points (FY2020 to FY2025).
- By year, Return on Capital Employed [ROCE] came in at -100.09% in FY2024 (-29.70 pp), -70.39% in FY2023 (-8.59 pp), -61.80% in FY2022 (-1.09 pp) and -60.71% in FY2021 (-5.00 pp).
- The Q2 2026 figure ranks as the lowest quarterly Return on Capital Employed [ROCE] in data going back to Q4 2020.
- Year over year, Return on Capital Employed [ROCE] gained in three of the last eight quarters, with an average year-over-year change of -26.72 percentage points.
- The high point for year-over-year Return on Capital Employed [ROCE] in five years was Q4 2025 (a gain of 42.06 percentage points); the low point was Q2 2026 (a drop of 148.81 percentage points).
- Per Business Quant data, the three quarters before Q2 2026 came in at -179.75% (Q1 2026), -112.92% (Q4 2025) and -86.52% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,230.11 Bn | 1,198.70 Bn | 19.71 Bn | 46.74% |
| 2 | Johnson & Johnson | 644.39 Bn | 564.25 Bn | 17.30 Bn | 17.52% |
| 3 | AbbVie | 503.52 Bn | 476.68 Bn | 12.70 Bn | 17.92% |
| 4 | Merck | 363.29 Bn | 317.72 Bn | 12.21 Bn | 6.28% |
| 5 | Novartis Ag | 298.23 Bn | 262.62 Bn | 11.24 Bn | 19.32% |
| 6 | Astrazeneca | 267.53 Bn | 241.29 Bn | 12.86 Bn | 16.76% |
| 7 | Amgen | 241.80 Bn | 197.20 Bn | 7.24 Bn | 16.66% |
| 8 | Gilead Sciences | 195.07 Bn | 169.19 Bn | 6.22 Bn | -5.97% |
| 9 | Pfizer | 173.33 Bn | 120.28 Bn | 10.94 Bn | 11.86% |
| 10 | Aligos Therapeutics | 50.28 Mn | -278.13 Mn | - | -212.92% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -212.92% |
| Mar 31, 2026 | -179.75% |
| Dec 31, 2025 | -112.92% |
| Sep 30, 2025 | -86.52% |
| Jun 30, 2025 | -64.12% |
| Mar 31, 2025 | -94.43% |
| Dec 31, 2024 | -154.99% |
| Sep 30, 2024 | -121.79% |
| Jun 30, 2024 | -98.67% |
| Mar 31, 2024 | -71.38% |
| Dec 31, 2023 | -92.98% |
| Sep 30, 2023 | -115.35% |
| Jun 30, 2023 | -97.67% |
| Mar 31, 2023 | -80.97% |
| Dec 31, 2022 | -79.82% |
| Sep 30, 2022 | -79.05% |
| Jun 30, 2022 | -77.02% |
| Mar 31, 2022 | -74.98% |
| Dec 31, 2021 | -61.03% |
| Sep 30, 2021 | -61.50% |
Aligos Therapeutics 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=ALGS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "ticker": "ALGS", "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=ALGS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();