Fortress Biotech (FBIO) Return on Sales [ROS] (2015 - 2026)
Fortress Biotech (FBIO) posted Return on Sales [ROS] of -53.46% for Q2 2026, up 168.76 percentage points from -222.22% a year earlier.
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Analysis
Fortress Biotech (FBIO) Return on Sales [ROS] (2015 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Return on Sales [ROS] at Fortress Biotech was -84.37%, up 92.22 percentage points year-over-year; for FY2025, it came in at -111.00%, up 80.38 percentage points from FY2024.
- Annual Return on Sales [ROS] shows a five-year change of +95.74 percentage points (FY2020 to FY2025).
- In prior years, Fortress Biotech's Return on Sales [ROS] was -191.38% in FY2024 (-22.95 pp), -168.43% in FY2023 (+100.33 pp), -268.76% in FY2022 (+5.32 pp) and -274.08% in FY2021 (-67.34 pp).
- Quarterly Return on Sales [ROS] has run from a low of -473.63% in Q1 2023 to a high of -29.78% in Q4 2025 over five years.
- On a year-over-year basis, Return on Sales [ROS] increased in four of the last seven quarters, with an average year-over-year change of +44.77 percentage points.
- The strongest year-over-year quarter for Return on Sales [ROS] in the past five years was Q3 2023, with a gain of 267.37 percentage points; the weakest was Q1 2023, with a drop of 276.05 percentage points.
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 | Fortress Biotech | 67.62 Mn | -326.99 Mn | 12.58 Mn | -53.46% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -53.46% |
| Dec 31, 2025 | -29.78% |
| Sep 30, 2025 | -38.63% |
| Jun 30, 2025 | -222.22% |
| Mar 31, 2025 | -169.85% |
| Dec 31, 2024 | -157.64% |
| Sep 30, 2024 | -151.04% |
| Jun 30, 2024 | -186.55% |
| Mar 31, 2024 | -280.63% |
| Dec 31, 2023 | -98.34% |
| Sep 30, 2023 | -39.59% |
| Jun 30, 2023 | -288.19% |
| Mar 31, 2023 | -473.63% |
| Dec 31, 2022 | -333.05% |
| Sep 30, 2022 | -306.96% |
| Jun 30, 2022 | -279.28% |
| Mar 31, 2022 | -197.58% |
| Dec 31, 2021 | -339.25% |
| Sep 30, 2021 | -236.77% |
| Jun 30, 2021 | -240.19% |
API Access
Fortress Biotech 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=FBIO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "FBIO", "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=FBIO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();