Autolus Therapeutics (AUTL) Return on Sales [ROS] (2017 - 2026)
Autolus Therapeutics (AUTL) recorded Return on Sales [ROS] of -95.95% in Q2 2026, up 196.63 percentage points from -292.58% a year earlier.
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Analysis
Autolus Therapeutics (AUTL) Return on Sales [ROS] (2017 - 2026) Analysis & Trends
On a TTM basis, Autolus Therapeutics' Return on Sales [ROS] came in at -222.26% as of Jun 30, 2026, up 680.38 percentage points year-over-year; for FY2025, it came in at -358.87%, up 2026.76 percentage points from FY2024.
- Annual Return on Sales [ROS] has a five-year change of +9445.50 percentage points (FY2020 to FY2025).
- Across earlier years, Return on Sales [ROS] came in at -2385.63% in FY2024 (+8197.47 pp), -10583.10% in FY2023 (-8328.25 pp), -2254.84% in FY2022 (+3798.81 pp) and -6053.65% in FY2021 (+3750.73 pp).
- The Q2 2026 figure is the highest quarterly Return on Sales [ROS] in data going back to Q1 2018.
- On a year-over-year basis, Return on Sales [ROS] rose in five of the last seven quarters, with an average year-over-year change of +3131.88 percentage points.
- Peak year-over-year performance for Return on Sales [ROS] in the last five years was a gain of 261301.65 percentage points in Q4 2025, against a drop of 251016.90 percentage points in Q4 2024 at the low end.
Peer Set
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 | Autolus Therapeutics | 468.91 Mn | -511.27 Mn | 23.31 Mn | -105.57% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | -105.57% |
| Jun 30, 2026 | -95.95% |
| Mar 31, 2026 | -226.99% |
| Dec 31, 2025 | -298.35% |
| Sep 30, 2025 | -337.93% |
| Jun 30, 2025 | -292.58% |
| Mar 31, 2025 | -726.34% |
| Dec 31, 2024 | -261,600.00% |
| Mar 31, 2024 | -384.07% |
| Jun 30, 2023 | -1,770.26% |
| Mar 31, 2023 | -3,030.03% |
| Dec 31, 2022 | -304.58% |
| Sep 30, 2022 | -1,576.49% |
| Jun 30, 2022 | -23,832.30% |
| Mar 31, 2022 | -21,798.80% |
| Dec 31, 2021 | -12,833.33% |
| Sep 30, 2021 | -17,099.58% |
| Jun 30, 2021 | -2,293.19% |
| Mar 31, 2021 | -14,822.30% |
| Dec 31, 2020 | -23,200.98% |
API Access
Autolus Therapeutics 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=AUTL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "AUTL", "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=AUTL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();