Biocryst Pharmaceuticals (BCRX) Return on Sales [ROS] (2010 - 2026)
Biocryst Pharmaceuticals (BCRX) recorded Return on Sales [ROS] of 45.12% in Q2 2026, up 26.88 percentage points from 18.23% a year earlier and up 493.67 percentage points from the prior quarter.
Biocryst Pharmaceuticals (BCRX) Return on Sales [ROS] (2010 - 2026) Analysis & Trends
On a TTM basis, Biocryst Pharmaceuticals' Return on Sales [ROS] came in at -33.29% as of Jun 30, 2026, down 43.01 percentage points year-over-year; for FY2025, it came in at 38.98%, up 39.54 percentage points from FY2024.
- Annual Return on Sales [ROS] has increased for five straight years, with a five-year change of +1020.10 percentage points (FY2020 to FY2025).
- Across earlier years, Return on Sales [ROS] came in at -0.56% in FY2024 (+30.73 pp), -31.29% in FY2023 (+23.51 pp), -54.81% in FY2022 (+58.27 pp) and -113.08% in FY2021 (+868.04 pp).
- Quarterly Return on Sales [ROS] has ranged from -448.55% in Q1 2026 to 64.05% in Q4 2025 over the past five years.
- On a year-over-year basis, Return on Sales [ROS] rose in seven of the last eight quarters, with an average year-over-year change of -31.72 percentage points.
- Peak year-over-year performance for Return on Sales [ROS] in the last five years was a gain of 1194.26 percentage points in Q4 2021, against a drop of 463.14 percentage points in Q1 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at -448.55% (Q1 2026), 64.05% (Q4 2025) and 18.56% (Q3 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 | Biocryst Pharmaceuticals | 2.09 Bn | 1.01 Bn | 214.41 Mn | 45.12% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 45.12% |
| Mar 31, 2026 | -448.55% |
| Dec 31, 2025 | 64.05% |
| Sep 30, 2025 | 18.56% |
| Jun 30, 2025 | 18.23% |
| Mar 31, 2025 | 14.59% |
| Dec 31, 2024 | -3.43% |
| Sep 30, 2024 | 6.57% |
| Jun 30, 2024 | 8.01% |
| Mar 31, 2024 | -15.62% |
| Dec 31, 2023 | -45.68% |
| Sep 30, 2023 | -13.74% |
| Jun 30, 2023 | -25.10% |
| Mar 31, 2023 | -41.31% |
| Dec 31, 2022 | -58.22% |
| Sep 30, 2022 | -23.01% |
| Jun 30, 2022 | -52.98% |
| Mar 31, 2022 | -100.07% |
| Dec 31, 2021 | -110.64% |
| Sep 30, 2021 | -108.76% |
Biocryst Pharmaceuticals 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=BCRX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "BCRX", "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=BCRX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();