Spyre Therapeutics (SYRE) Return on Sales [ROS] (2017 - 2024)
Spyre Therapeutics' Return on Sales [ROS] came in at -39428.92% for Q1 2024, down 29930.94 percentage points from -9497.98% a year earlier and down 12080.96 percentage points from the prior quarter.
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Analysis
Spyre Therapeutics (SYRE) Return on Sales [ROS] (2017 - 2024) Analysis & Trends
For FY2023, Spyre Therapeutics' Return on Sales [ROS] was -27347.97%, down 23707.74 percentage points from FY2022.
- Return on Sales [ROS] carries a five-year change of -26182.25 percentage points (FY2018 to FY2023).
- Going back by year, Return on Sales [ROS] was -3640.23% in FY2022 (-3289.90 pp) and -350.33% in FY2021.
- The Q1 2024 figure represents the lowest quarterly Return on Sales [ROS] in data going back to Q1 2017.
- Year-over-year, Return on Sales [ROS] has declined for eight consecutive quarters, with an average year-over-year change of -13314.86 percentage points over the last eight quarters.
- Across the past five years, year-over-year drop in Return on Sales [ROS] ran from 3538.72 percentage points in Q2 2022 to 29930.94 percentage points in Q1 2024.
- Business Quant data shows SYRE's Return on Sales [ROS] at -27347.97% (Q4 2023), -20450.76% (Q3 2023) and -23146.22% (Q2 2023) in the three quarters before Q1 2024.
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 | Spyre Therapeutics | 8.21 Bn | 8.21 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2024 | -39,428.92% |
| Dec 31, 2023 | -27,347.97% |
| Sep 30, 2023 | -20,450.76% |
| Jun 30, 2023 | -23,146.22% |
| Mar 31, 2023 | -9,497.98% |
| Dec 31, 2022 | -11,405.95% |
| Sep 30, 2022 | -10,778.74% |
| Jun 30, 2022 | -3,587.68% |
| Mar 31, 2022 | -1,794.49% |
| Dec 31, 2021 | -560.98% |
| Sep 30, 2021 | -1,450.54% |
| Jun 30, 2021 | -48.96% |
| Mar 31, 2019 | -2,307.61% |
| Dec 31, 2018 | -1,169.32% |
| Sep 30, 2018 | -684.88% |
| Jun 30, 2018 | -406.64% |
| Mar 31, 2018 | -546.03% |
| Dec 31, 2017 | -446.86% |
| Sep 30, 2017 | -634.26% |
| Jun 30, 2017 | -454.36% |
API Access
Spyre 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=SYRE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "SYRE", "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=SYRE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();