Spyre Therapeutics (SYRE) Net Margin (2017 - 2023)
Spyre Therapeutics' Net Margin was -38238.15% in FY2023, down 34639.39 percentage points from -3598.75% in FY2022.
Powered by 
Analysis
Spyre Therapeutics (SYRE) Net Margin (2017 - 2023) Analysis & Trends
From FY2016 onward, Spyre Therapeutics has reported Net Margin for 6 years.
- Net Margin shows a five-year change of -37101.02 percentage points (FY2018 to FY2023).
- The FY2023 figure marks the lowest annual Net Margin in data going back to FY2016.
- Per Business Quant data, Net Margin in earlier years was -3598.75% in FY2022 (-3247.61 pp) and -351.14% in FY2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 21.86% |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | 21.27% |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | -8.04% |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | 22.61% |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | 18.81% |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 23.62% |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | -134.51% |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | -1.65% |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | 32.99% |
| 10 | Spyre Therapeutics | 7.84 Bn | 7.84 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2023 | -31,552.47% |
| Mar 31, 2023 | -9,304.04% |
| Dec 31, 2022 | -11,203.57% |
| Sep 30, 2022 | -10,479.31% |
| Jun 30, 2022 | -3,571.68% |
| Mar 31, 2022 | -1,794.13% |
| Dec 31, 2021 | -561.09% |
| Sep 30, 2021 | -1,451.54% |
| Jun 30, 2021 | -49.87% |
| Jun 30, 2018 | -395.88% |
| Mar 31, 2018 | -537.68% |
| Dec 31, 2017 | -437.15% |
| Sep 30, 2017 | -624.43% |
| Jun 30, 2017 | -448.41% |
| Mar 31, 2017 | -636.15% |
API Access
Spyre Therapeutics Net Margin 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=net-margin&ticker=SYRE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-margin", "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=net-margin&ticker=SYRE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();