Nephros (NEPH) Exchange Rate Effect (2010 - 2022)
Nephros' Exchange Rate Effect came in at -$2,000 for FY2022, compared with -$11,000 in FY2021.
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Analysis
Nephros (NEPH) Exchange Rate Effect (2010 - 2022) Analysis & Trends
Going back to FY2010, Nephros' Exchange Rate Effect data covers 13 years.
- The five-year range for annual Exchange Rate Effect is -$11,000 (FY2021) to $9,000 (FY2020).
- Per Business Quant, earlier years put Exchange Rate Effect at -$11,000 in FY2021, $9,000 in FY2020, -$5,000 in FY2019 and -$7,000 in FY2018.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 98.00 Mn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | 4.00 Mn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | -13.00 Mn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | 7.10 Mn |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | -89.00 Mn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | -14.00 Mn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 1.00 Mn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | 3.80 Mn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 2.00 Mn |
| 10 | Nephros | 40.29 Mn | 21.01 Mn | 4.03 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2022 | -2,000.00 |
| Dec 31, 2021 | -5,000.00 |
| Sep 30, 2021 | -2,000.00 |
| Jun 30, 2021 | 1,000.00 |
| Mar 31, 2021 | -5,000.00 |
| Dec 31, 2020 | 5,000.00 |
| Mar 31, 2020 | -2,000.00 |
| Dec 31, 2019 | 2,000.00 |
| Sep 30, 2019 | -6,000.00 |
| Jun 30, 2019 | 1,000.00 |
| Mar 31, 2019 | -2,000.00 |
| Jun 30, 2018 | -8,000.00 |
| Mar 31, 2018 | 1,000.00 |
| Dec 31, 2017 | 2,000.00 |
| Sep 30, 2017 | -1,000.00 |
| Dec 31, 2015 | -1,000.00 |
| Sep 30, 2015 | 4,000.00 |
| Jun 30, 2015 | -1,000.00 |
| Mar 31, 2015 | -1,000.00 |
| Dec 31, 2014 | -1,000.00 |
API Access
Nephros 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=NEPH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "ticker": "NEPH", "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=NEPH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();