Achieve Life Sciences (ACHV) Exchange Rate Effect (2010 - 2025)
Achieve Life Sciences (ACHV) posted Exchange Rate Effect of $4,000 for Q4 2025.
Analysis
Achieve Life Sciences (ACHV) Exchange Rate Effect (2010 - 2025) Analysis & Trends
For FY2025, Achieve Life Sciences' Exchange Rate Effect came in at $3,000.
- In prior years, Achieve Life Sciences' Exchange Rate Effect was -$3,000 in FY2023, $3,000 in FY2022 and -$1,000 in FY2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 5.00 Mn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | -7.00 Mn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | -37.00 Mn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | -18.00 Mn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | 9.00 Mn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | - |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | -19.00 Mn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | -4.00 Mn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | -3.70 Mn |
| 10 | Achieve Life Sciences | 337.86 Mn | 337.86 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 4,000.00 |
| Mar 31, 2025 | -2,000.00 |
| Jun 30, 2023 | 2,000.00 |
| Mar 31, 2023 | -1,000.00 |
| Dec 31, 2022 | 4,000.00 |
| Mar 31, 2022 | -1,000.00 |
| Sep 30, 2021 | -3,000.00 |
| Mar 31, 2020 | 2,000.00 |
| Dec 31, 2019 | 1,000.00 |
| Sep 30, 2019 | 1,000.00 |
| Jun 30, 2019 | -2,000.00 |
| Mar 31, 2019 | 4,000.00 |
| Mar 31, 2018 | -1,000.00 |
| Dec 31, 2017 | -8,000.00 |
| Sep 30, 2017 | 5,000.00 |
| Mar 31, 2017 | 2,000.00 |
| Jun 30, 2014 | -1,000.00 |
| Mar 31, 2014 | -1,000.00 |
| Dec 31, 2013 | 2,000.00 |
| Sep 30, 2013 | 25,000.00 |
API Access
Achieve Life Sciences 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=ACHV&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "ticker": "ACHV", "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=ACHV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();