National Vision Holdings (EYE) Price to Earnings (2017 - 2026)
National Vision Holdings' (EYE) Price to Earnings stood at 56.13 in Q2 2027.
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Analysis
National Vision Holdings (EYE) Price to Earnings (2017 - 2026) Analysis & Trends
For FY2026, National Vision Holdings' Price to Earnings came in at 69.62.
- Across earlier years, Price to Earnings came in at 72.69 in FY2022 (+138.6%).
- The Q2 2027 figure is the lowest quarterly Price to Earnings since Q3 2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Amazon Com | 2,676.66 Bn | 2,193.36 Bn | 104.83 Bn |
| 2 | Home Depot | 281.92 Bn | 275.16 Bn | 16.12 Bn |
| 3 | Tjx Companies | 147.13 Bn | 124.67 Bn | 5.07 Bn |
| 4 | Lowes Companies | 102.34 Bn | 95.31 Bn | 8.58 Bn |
| 5 | Ross Stores | 74.83 Bn | 57.76 Bn | 2.12 Bn |
| 6 | Target | 71.16 Bn | 65.74 Bn | 8.94 Bn |
| 7 | O Reilly Automotive | 69.40 Bn | 68.49 Bn | 2.52 Bn |
| 8 | Carvana | 69.33 Bn | 60.93 Bn | 1.38 Bn |
| 9 | Autozone | 46.02 Bn | 44.93 Bn | 2.52 Bn |
| 10 | National Vision Holdings | 1.30 Bn | 1.12 Bn | 290.43 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 4, 2026 | 56.13 |
| Jan 3, 2026 | 69.62 |
| Jul 1, 2023 | 72.66 |
| Apr 1, 2023 | 48.64 |
| Dec 31, 2022 | 72.69 |
| Oct 1, 2022 | 14.44 |
| Jul 2, 2022 | 10.66 |
| Apr 2, 2022 | 15.34 |
| Jan 1, 2022 | 15.68 |
| Oct 2, 2021 | 29.11 |
| Jul 3, 2021 | 57.34 |
| Apr 3, 2021 | 82.39 |
| Sep 26, 2020 | 583.13 |
| Mar 28, 2020 | 63.71 |
| Dec 28, 2019 | 80.41 |
| Sep 28, 2019 | 181.16 |
| Jun 29, 2019 | 167.29 |
| Mar 30, 2019 | 147.86 |
| Dec 29, 2018 | 95.77 |
| Sep 29, 2018 | 50.11 |
API Access
National Vision Holdings Price to Earnings 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=price-to-earnings&ticker=EYE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "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=price-to-earnings&ticker=EYE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();