Nephros (NEPH) Receivables - Other (2016 - 2018)
Nephros' Receivables - Other came in at $24,000 for Q3 2018, down 52.0% from $50,000 a year earlier and down 22.6% from the prior quarter.
Analysis
Nephros (NEPH) Receivables - Other (2016 - 2018) Analysis & Trends
At the end of FY2017, Nephros' Receivables - Other was $20,000, down 25.9% from FY2016.
- Going back by year, Receivables - Other was $27,000 in FY2016.
- The five-year range for quarterly Receivables - Other is $20,000 (Q4 2017) to $71,000 (Q1 2016).
- Year-over-year, Receivables - Other has declined for seven consecutive quarters, with an average decline of 32.0% over the last seven quarters.
- Business Quant data shows NEPH's Receivables - Other at $31,000 (Q2 2018), $34,000 (Q1 2018) and $20,000 (Q4 2017) in the three quarters before Q3 2018.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn |
| 10 | Nephros | 40.29 Mn | 21.01 Mn | 4.03 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2018 | 24,000.00 |
| Jun 30, 2018 | 31,000.00 |
| Mar 31, 2018 | 34,000.00 |
| Dec 31, 2017 | 20,000.00 |
| Sep 30, 2017 | 50,000.00 |
| Jun 30, 2017 | 54,000.00 |
| Mar 31, 2017 | 57,000.00 |
| Dec 31, 2016 | 27,000.00 |
| Sep 30, 2016 | 65,000.00 |
| Jun 30, 2016 | 68,000.00 |
| Mar 31, 2016 | 71,000.00 |
API Access
Nephros Receivables - Other 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=receivables-other&ticker=NEPH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables-other", "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=receivables-other&ticker=NEPH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();