Atara Biotherapeutics (ATRA) Return on Sales [ROS] (2021 - 2026)
Atara Biotherapeutics' Return on Sales [ROS] came in at -749.21% for Q2 2026, down 767.40 percentage points from 18.19% a year earlier and down 96.30 percentage points from the prior quarter.
Atara Biotherapeutics (ATRA) Return on Sales [ROS] (2021 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Atara Biotherapeutics reported Return on Sales [ROS] of -229.67%, down 233.93 percentage points year-over-year; for FY2025, it came in at 29.69%, up 94.40 percentage points from FY2024.
- Return on Sales [ROS] carries a four-year change of +1703.55 percentage points (FY2021 to FY2025).
- Going back by year, Return on Sales [ROS] was -64.71% in FY2024 (+3154.77 pp), -3219.48% in FY2023 (-2778.42 pp), -441.06% in FY2022 (+1232.80 pp) and -1673.85% in FY2021.
- The Q2 2026 figure represents the lowest quarterly Return on Sales [ROS] since Q4 2023.
- Year-over-year, Return on Sales [ROS] has declined for four consecutive quarters, with an average year-over-year change of +397.21 percentage points over the last eight quarters.
- The fastest year-over-year change in Return on Sales [ROS] over five years came in Q4 2023 (a gain of 29049.07 percentage points), and the weakest in Q4 2022 (a drop of 29221.82 percentage points).
- Business Quant data shows ATRA's Return on Sales [ROS] at -652.91% (Q1 2026), -160.69% (Q4 2025) and -103.50% (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | 34.46% |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | 24.35% |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | 36.01% |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | 30.74% |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | 29.12% |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | 35.79% |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | 41.71% |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | 32.98% |
| 10 | Atara Biotherapeutics | 124.14 Mn | 114.24 Mn | 959,000.00 | -242.65% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | -242.65% |
| Jun 30, 2026 | -749.21% |
| Mar 31, 2026 | -652.91% |
| Dec 31, 2025 | -160.69% |
| Sep 30, 2025 | -103.50% |
| Jun 30, 2025 | 18.19% |
| Mar 31, 2025 | 39.53% |
| Dec 31, 2024 | -37.26% |
| Sep 30, 2024 | -54.14% |
| Jun 30, 2024 | -63.66% |
| Mar 31, 2024 | -114.22% |
| Dec 31, 2023 | -1,410.21% |
| Sep 30, 2023 | -3,255.94% |
| Jun 30, 2023 | -7,462.28% |
| Mar 31, 2023 | -6,118.92% |
| Dec 31, 2022 | -30,459.27% |
| Sep 30, 2022 | -1,897.78% |
| Jun 30, 2022 | -62.30% |
| Mar 31, 2022 | -1,206.18% |
| Dec 31, 2021 | -1,237.45% |
Atara Biotherapeutics 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=ATRA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "ATRA", "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=ATRA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();