Spyre Therapeutics (SYRE) FCF Margin (2017 - 2023)
Spyre Therapeutics' FCF Margin came in at -11276.52% for FY2023, down 7833.76 percentage points from -3442.77% in FY2022.
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Analysis
Spyre Therapeutics (SYRE) FCF Margin (2017 - 2023) Analysis & Trends
Going back to FY2016, Spyre Therapeutics' FCF Margin data covers 6 years.
- FCF Margin carries a five-year change of -10440.24 percentage points (FY2018 to FY2023).
- The FY2023 figure represents the lowest annual FCF Margin in data going back to FY2016.
- Per Business Quant, earlier years put FCF Margin at -3442.77% in FY2022 (-3153.05 pp) and -289.71% in FY2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FCF Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,165.22 Bn | 1,133.81 Bn | 19.71 Bn | 33.76% |
| 2 | Johnson & Johnson | 646.28 Bn | 566.14 Bn | 17.30 Bn | 25.03% |
| 3 | AbbVie | 503.17 Bn | 476.28 Bn | 12.70 Bn | 18.33% |
| 4 | Merck | 365.23 Bn | 319.60 Bn | 12.21 Bn | 26.96% |
| 5 | Novartis Ag | 302.66 Bn | 266.65 Bn | 11.24 Bn | 38.60% |
| 6 | Astrazeneca | 267.39 Bn | 241.08 Bn | 12.86 Bn | 6.55% |
| 7 | Amgen | 241.61 Bn | 197.01 Bn | 7.24 Bn | 34.70% |
| 8 | Gilead Sciences | 194.67 Bn | 168.86 Bn | 6.22 Bn | 44.00% |
| 9 | Pfizer | 172.91 Bn | 119.55 Bn | 10.94 Bn | 2.01% |
| 10 | Spyre Therapeutics | 7.82 Bn | 4.69 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2023 | -2,419.04% |
| Mar 31, 2023 | -8,906.06% |
| Dec 31, 2022 | -10,797.62% |
| Sep 30, 2022 | -8,660.34% |
| Jun 30, 2022 | -3,307.68% |
| Mar 31, 2022 | -1,930.98% |
| Dec 31, 2021 | -528.76% |
| Sep 30, 2021 | -1,221.80% |
| Jun 30, 2021 | 14.98% |
| Jun 30, 2018 | -381.79% |
| Mar 31, 2018 | -498.68% |
| Dec 31, 2017 | -408.90% |
| Sep 30, 2017 | -593.10% |
| Jun 30, 2017 | -404.87% |
| Mar 31, 2017 | -580.75% |
API Access
Spyre Therapeutics FCF 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=fcf-margin&ticker=SYRE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "fcf-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=fcf-margin&ticker=SYRE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();