Nephros (NEPH) Capital Expenditures (2010 - 2022)
Nephros (NEPH) posted Capital Expenditures of $55,000 for FY2024, down 26.7% from $75,000 in FY2023.
Analysis
Nephros (NEPH) Capital Expenditures (2010 - 2022) Analysis & Trends
Since FY2010, Nephros has reported Capital Expenditures for 10 years.
- Annual Capital Expenditures shows a five-year compound annual growth rate of 31.5% (FY2019 to FY2024).
- The FY2024 figure stands as the lowest annual Capital Expenditures since FY2021.
- Business Quant data shows NEPH's Capital Expenditures at $75,000 in FY2023 (-45.3%), $137,000 in FY2022 (+280.6%), $36,000 in FY2021 (-84.9%) and $239,000 in FY2020.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 450.00 Mn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | 497.00 Mn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 269.00 Mn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | 112.60 Mn |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 503.00 Mn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 202.00 Mn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 195.00 Mn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | 66.90 Mn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 143.00 Mn |
| 10 | Nephros | 40.29 Mn | 21.01 Mn | 4.03 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2022 | 103,000.00 |
| Mar 31, 2022 | 34,000.00 |
| Sep 30, 2021 | 13,000.00 |
| Mar 31, 2021 | 23,000.00 |
| Sep 30, 2020 | 13,000.00 |
| Sep 30, 2016 | 5,000.00 |
| Jun 30, 2016 | 14,000.00 |
| Mar 31, 2016 | 26,000.00 |
| Dec 31, 2012 | 1,000.00 |
| Dec 31, 2010 | 24,000.00 |
API Access
Nephros Capital Expenditures 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=capital-expenditures&ticker=NEPH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=NEPH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();