Biolife Solutions (BLFS) Exchange Rate Effect (2021 - 2024)
Biolife Solutions (BLFS) reported Exchange Rate Effect of $29,000 for Q4 2024, down 54.0% from $63,000 a year earlier and down 19.4% from the prior quarter.
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Analysis
Biolife Solutions (BLFS) Exchange Rate Effect (2021 - 2024) Analysis & Trends
For FY2023, Biolife Solutions posted Exchange Rate Effect of $35,000.
- By year, Exchange Rate Effect came in at -$108,000 in FY2022 and -$23,000 in FY2021.
- Five-year quarterly Exchange Rate Effect spans a low of -$168,000 in Q2 2022 and a high of $140,000 in Q4 2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 257.99 Bn | 237.02 Bn | 4.88 Bn | 98.00 Mn |
| 2 | Abbott Laboratories | 175.01 Bn | 145.44 Bn | 7.27 Bn | 4.00 Mn |
| 3 | Danaher | 164.93 Bn | 148.74 Bn | 3.61 Bn | -13.00 Mn |
| 4 | Intuitive Surgical | 151.84 Bn | 131.26 Bn | 1.96 Bn | 7.10 Mn |
| 5 | Medtronic | 119.05 Bn | 84.30 Bn | 6.34 Bn | -89.00 Mn |
| 6 | Stryker | 113.89 Bn | 100.00 Bn | 4.50 Bn | -14.00 Mn |
| 7 | Boston Scientific | 65.37 Bn | 60.13 Bn | 3.85 Bn | 1.00 Mn |
| 8 | Becton Dickinson | 53.36 Bn | 50.51 Bn | 2.32 Bn | 2.00 Mn |
| 9 | Edwards Lifesciences | 50.83 Bn | 34.83 Bn | 1.35 Bn | 3.80 Mn |
| 10 | Biolife Solutions | 1.89 Bn | 1.56 Bn | 18.29 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2024 | 29,000.00 |
| Sep 30, 2024 | 36,000.00 |
| Mar 31, 2024 | -65,000.00 |
| Dec 31, 2023 | 63,000.00 |
| Sep 30, 2023 | -56,000.00 |
| Jun 30, 2023 | 17,000.00 |
| Mar 31, 2023 | 11,000.00 |
| Dec 31, 2022 | 68,000.00 |
| Sep 30, 2022 | 14,000.00 |
| Jun 30, 2022 | -168,000.00 |
| Mar 31, 2022 | -22,000.00 |
| Dec 31, 2021 | 140,000.00 |
| Sep 30, 2021 | -166,000.00 |
| Jun 30, 2021 | 3,000.00 |
API Access
Biolife Solutions 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=BLFS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "ticker": "BLFS", "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=BLFS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();