Anaptysbio (ANAB) Return on Sales [ROS] (2016 - 2026)
Anaptysbio's Return on Sales [ROS] was -135.53% in Q1 2026, down 36.37 percentage points from -99.16% a year earlier and down 197.34 percentage points from the prior quarter.
Anaptysbio (ANAB) Return on Sales [ROS] (2016 - 2026) Analysis & Trends
On a trailing twelve-month basis, Anaptysbio's Return on Sales [ROS] was 17.56% through Mar 31, 2026, up 107.20 percentage points year-over-year; for FY2025, it was 20.42%, up 146.35 percentage points from FY2024.
- Return on Sales [ROS] has now increased for three consecutive years, with a five-year change of +52.25 percentage points (FY2020 to FY2025).
- In earlier years, Return on Sales [ROS] was -125.93% in FY2024 (+832.34 pp), -958.27% in FY2023 (+161.14 pp), -1119.41% in FY2022 (-1029.48 pp) and -89.93% in FY2021 (-58.09 pp).
- The Q1 2026 figure marks the lowest quarterly Return on Sales [ROS] since Q2 2024.
- Compared with a year earlier, Return on Sales [ROS] was higher in seven of the last eight quarters, with an average year-over-year change of +400.92 percentage points.
- The best year-over-year quarter for Return on Sales [ROS] over five years was Q4 2022 (a gain of 2700.29 percentage points); the worst was Q4 2021 (a drop of 3137.38 percentage points).
- Per Business Quant data, ANAB's Return on Sales [ROS] in the three quarters before Q1 2026 was 61.80% (Q4 2025), 45.47% (Q3 2025) and -117.55% (Q2 2025).
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 | Anaptysbio | 1.41 Bn | 296.12 Mn | - | -135.53% |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | -135.53% |
| Dec 31, 2025 | 61.80% |
| Sep 30, 2025 | 45.47% |
| Jun 30, 2025 | -117.55% |
| Mar 31, 2025 | -99.16% |
| Dec 31, 2024 | -22.43% |
| Sep 30, 2024 | -75.81% |
| Jun 30, 2024 | -367.52% |
| Mar 31, 2024 | -587.84% |
| Dec 31, 2023 | -467.91% |
| Sep 30, 2023 | -1,137.19% |
| Jun 30, 2023 | -1,160.20% |
| Mar 31, 2023 | -3,231.51% |
| Dec 31, 2022 | -381.51% |
| Sep 30, 2022 | -2,291.80% |
| Jun 30, 2022 | -2,286.10% |
| Mar 31, 2022 | -3,273.09% |
| Dec 31, 2021 | -3,081.80% |
| Sep 30, 2021 | -32.37% |
| Jun 30, 2021 | -1.78% |
Anaptysbio 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=ANAB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "ANAB", "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=ANAB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();