Alector (ALEC) Return on Capital Employed [ROCE] (2019 - 2026)
Alector's Return on Capital Employed [ROCE] came in at -67.59% for Q2 2026, down 22.45 percentage points from -45.14% a year earlier and down 7.20 percentage points from the prior quarter.
Alector (ALEC) Return on Capital Employed [ROCE] (2019 - 2026) Analysis & Trends
For FY2025, Alector's Return on Capital Employed [ROCE] was -50.12%, down 15.60 percentage points from FY2024.
- Return on Capital Employed [ROCE] has declined in each of the last four years, though with a five-year change of +0.31 percentage points (FY2020 to FY2025).
- Going back by year, Return on Capital Employed [ROCE] was -34.52% in FY2024 (-5.72 pp), -28.80% in FY2023 (-9.32 pp), -19.49% in FY2022 (-12.19 pp) and -7.30% in FY2021 (+43.14 pp).
- The Q2 2026 figure represents the lowest quarterly Return on Capital Employed [ROCE] in data going back to Q1 2019.
- Year-over-year, Return on Capital Employed [ROCE] has declined for 16 consecutive quarters, with an average year-over-year change of -12.95 percentage points over the last eight quarters.
- The fastest year-over-year change in Return on Capital Employed [ROCE] over five years came in Q2 2022 (a gain of 66.94 percentage points), and the weakest in Q2 2023 (a drop of 30.96 percentage points).
- Business Quant data shows ALEC's Return on Capital Employed [ROCE] at -60.38% (Q1 2026), -63.74% (Q4 2025) and -46.52% (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | 35.41% |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | 17.52% |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | 21.60% |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | 4.65% |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | 9.91% |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | 17.37% |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | -6.15% |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | 11.32% |
| 10 | Alector | 284.06 Mn | -489.98 Mn | - | 23.48% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 23.48% |
| Jun 30, 2026 | -67.59% |
| Mar 31, 2026 | -60.38% |
| Dec 31, 2025 | -63.74% |
| Sep 30, 2025 | -46.52% |
| Jun 30, 2025 | -45.14% |
| Mar 31, 2025 | -44.44% |
| Dec 31, 2024 | -39.50% |
| Sep 30, 2024 | -46.20% |
| Jun 30, 2024 | -41.14% |
| Mar 31, 2024 | -31.34% |
| Dec 31, 2023 | -32.34% |
| Sep 30, 2023 | -29.85% |
| Jun 30, 2023 | -26.31% |
| Mar 31, 2023 | -21.51% |
| Dec 31, 2022 | -19.18% |
| Sep 30, 2022 | -19.66% |
| Jun 30, 2022 | 4.65% |
| Mar 31, 2022 | -3.89% |
| Dec 31, 2021 | -5.38% |
Alector 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=ALEC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "ticker": "ALEC", "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=ALEC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();