Spyre Therapeutics (SYRE) Exchange Rate Effect (2020 - 2024)
Spyre Therapeutics' Exchange Rate Effect came in at -$15,000 for Q4 2024, compared with $18,000 a year earlier.
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Analysis
Spyre Therapeutics (SYRE) Exchange Rate Effect (2020 - 2024) Analysis & Trends
For FY2024, Spyre Therapeutics' Exchange Rate Effect was -$3,000.
- Going back by year, Exchange Rate Effect was $25,000 in FY2023, -$106,000 in FY2022, -$15,000 in FY2021 and $51,000 in FY2020.
- The Q4 2024 figure represents the lowest quarterly Exchange Rate Effect since Q3 2023.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 645.01 Bn | 563.54 Bn | 17.26 Bn | 5.00 Mn |
| 2 | AbbVie | 465.23 Bn | 438.39 Bn | 12.70 Bn | -7.00 Mn |
| 3 | Merck | 368.40 Bn | 322.83 Bn | 12.21 Bn | -37.00 Mn |
| 4 | Novartis Ag | 278.02 Bn | 233.89 Bn | 11.24 Bn | -18.00 Mn |
| 5 | Astrazeneca | 254.57 Bn | 228.13 Bn | 12.86 Bn | 9.00 Mn |
| 6 | Amgen | 229.02 Bn | 184.42 Bn | 7.24 Bn | - |
| 7 | Gilead Sciences | 187.74 Bn | 161.85 Bn | 6.22 Bn | -19.00 Mn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | -4.00 Mn |
| 9 | Vertex Pharmaceuticals | 133.45 Bn | 105.45 Bn | 2.84 Bn | -3.70 Mn |
| 10 | Spyre Therapeutics | 7.46 Bn | 7.46 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2024 | -15,000.00 |
| Sep 30, 2024 | 16,000.00 |
| Mar 31, 2024 | -4,000.00 |
| Dec 31, 2023 | 18,000.00 |
| Sep 30, 2023 | -17,000.00 |
| Jun 30, 2023 | 13,000.00 |
| Mar 31, 2023 | 11,000.00 |
| Dec 31, 2022 | 46,000.00 |
| Sep 30, 2022 | -57,000.00 |
| Jun 30, 2022 | -72,000.00 |
| Mar 31, 2022 | -23,000.00 |
| Dec 31, 2021 | 3,000.00 |
| Sep 30, 2021 | -29,000.00 |
| Jun 30, 2021 | 4,000.00 |
| Mar 31, 2021 | 7,000.00 |
| Dec 31, 2020 | 47,000.00 |
API Access
Spyre Therapeutics Exchange Rate Effect 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=exchange-rate-effect&ticker=SYRE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "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=exchange-rate-effect&ticker=SYRE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();