Alector (ALEC) Return on Sales [ROS] (2018 - 2026)
Alector (ALEC) reported Return on Sales [ROS] of -734.73% for Q2 2026, down 301.18 percentage points from -433.55% a year earlier but up 1647.58 percentage points from the prior quarter.
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Analysis
Alector (ALEC) Return on Sales [ROS] (2018 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Alector's Return on Sales [ROS] came in at -912.40%, down 746.60 percentage points year-over-year; for FY2025, it came in at -741.30%, down 597.11 percentage points from FY2024.
- Return on Sales [ROS] has a five-year change of +183.78 percentage points (FY2020 to FY2025).
- By year, Return on Sales [ROS] came in at -144.19% in FY2024 (+12.14 pp), -156.33% in FY2023 (-53.18 pp), -103.16% in FY2022 (-85.12 pp) and -18.04% in FY2021 (+907.04 pp).
- Five-year quarterly Return on Sales [ROS] spans a low of -2382.31% in Q1 2026 and a high of 69.25% in Q3 2021.
- Year over year, Return on Sales [ROS] has now declined in each of the last six quarters, with an average year-over-year change of -432.49 percentage points over the last eight quarters.
- The high point for year-over-year Return on Sales [ROS] in five years was Q1 2022 (a gain of 1100.37 percentage points); the low point was Q1 2026 (a drop of 1165.79 percentage points).
- Per Business Quant data, the three quarters before Q2 2026 came in at -2382.31% (Q1 2026), -634.38% (Q4 2025) and -1153.62% (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 | Alector | 202.10 Mn | -724.35 Mn | - | -734.73% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -734.73% |
| Mar 31, 2026 | -2,382.31% |
| Dec 31, 2025 | -634.38% |
| Sep 30, 2025 | -1,153.62% |
| Jun 30, 2025 | -433.55% |
| Mar 31, 2025 | -1,216.52% |
| Dec 31, 2024 | -13.36% |
| Sep 30, 2024 | -315.70% |
| Jun 30, 2024 | -302.37% |
| Mar 31, 2024 | -275.01% |
| Dec 31, 2023 | -312.40% |
| Sep 30, 2023 | -555.31% |
| Jun 30, 2023 | -6.38% |
| Mar 31, 2023 | -302.83% |
| Dec 31, 2022 | -383.92% |
| Sep 30, 2022 | -321.49% |
| Jun 30, 2022 | 11.87% |
| Mar 31, 2022 | -180.29% |
| Dec 31, 2021 | -398.23% |
| Sep 30, 2021 | 69.25% |
API Access
Alector 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=ALEC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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-sales-%5Bros%5D&ticker=ALEC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();