National Vision Holdings (EYE) Times Interest Earned (2016 - 2022)
National Vision Holdings' Times Interest Earned came in at 6.83 for FY2021.
Analysis
National Vision Holdings (EYE) Times Interest Earned (2016 - 2022) Analysis & Trends
Going back to FY2015, National Vision Holdings' Times Interest Earned data covers 6 years.
- The FY2021 figure represents the highest annual Times Interest Earned in data going back to FY2015.
- Per Business Quant, earlier years put Times Interest Earned at 2.21 in FY2019 (+94.5%), 1.14 in FY2018 (-1.9%) and 1.16 in FY2017 (-29.4%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Times Interest Earned (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,828.15 Bn | 2,344.85 Bn | 104.83 Bn | 20.90 |
| 2 | Home Depot | 312.02 Bn | 305.26 Bn | 16.12 Bn | 11.73 |
| 3 | Tjx Companies | 160.78 Bn | 138.32 Bn | 5.07 Bn | - |
| 4 | Lowes Companies | 109.83 Bn | 102.79 Bn | 8.58 Bn | - |
| 5 | Ross Stores | 74.49 Bn | 57.42 Bn | 2.12 Bn | - |
| 6 | O Reilly Automotive | 73.51 Bn | 72.60 Bn | 2.52 Bn | 14.11 |
| 7 | Target | 69.38 Bn | 63.97 Bn | 8.94 Bn | 26.12 |
| 8 | Autozone | 52.02 Bn | 50.92 Bn | 2.52 Bn | - |
| 9 | Carvana | 42.62 Bn | 33.11 Bn | 1.38 Bn | 6.73 |
| 10 | National Vision Holdings | 1.41 Bn | 1.23 Bn | 290.43 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jan 1, 2022 | 42.06 |
| Oct 2, 2021 | 8.83 |
| Jul 3, 2021 | 5.43 |
| Apr 3, 2021 | 9.71 |
| Sep 26, 2020 | 4.39 |
| Jun 27, 2020 | -2.68 |
| Mar 28, 2020 | 2.27 |
| Dec 28, 2019 | 1.13 |
| Sep 28, 2019 | 1.41 |
| Jun 29, 2019 | 2.42 |
| Mar 30, 2019 | 3.58 |
| Dec 29, 2018 | -2.12 |
| Sep 29, 2018 | -0.22 |
| Jun 30, 2018 | 2.65 |
| Mar 31, 2018 | 4.17 |
| Dec 30, 2017 | -0.25 |
| Sep 30, 2017 | 1.06 |
| Jul 1, 2017 | 0.89 |
| Apr 1, 2017 | 3.40 |
| Dec 31, 2016 | -0.35 |
API Access
National Vision Holdings Times Interest Earned 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=times-interest-earned&ticker=EYE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "times-interest-earned", "ticker": "EYE", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=times-interest-earned&ticker=EYE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();