National Vision Holdings (EYE) Price to Book (2017 - 2026)
National Vision Holdings' Price to Book was 1.74 in Q2 2027, down 19.2% from 2.16 a year earlier.
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Analysis
National Vision Holdings (EYE) Price to Book (2017 - 2026) Analysis & Trends
For FY2026, Price to Book at National Vision Holdings came in at 2.37.
- In earlier years, Price to Book was 1.02 in FY2024 (-48.4%), 1.98 in FY2023 (-41.8%) and 3.40 in FY2022 (-19.5%).
- The Q2 2027 figure marks the lowest quarterly Price to Book since Q1 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Amazon Com | 2,686.58 Bn | 2,203.28 Bn | 104.83 Bn |
| 2 | Home Depot | 283.87 Bn | 277.11 Bn | 16.12 Bn |
| 3 | Tjx Companies | 145.82 Bn | 123.36 Bn | 5.07 Bn |
| 4 | Lowes Companies | 103.43 Bn | 96.39 Bn | 8.58 Bn |
| 5 | Ross Stores | 74.61 Bn | 57.54 Bn | 2.12 Bn |
| 6 | Target | 71.16 Bn | 65.74 Bn | 8.94 Bn |
| 7 | O Reilly Automotive | 69.71 Bn | 68.80 Bn | 2.52 Bn |
| 8 | Carvana | 68.78 Bn | 60.38 Bn | 1.38 Bn |
| 9 | Autozone | 46.23 Bn | 45.13 Bn | 2.52 Bn |
| 10 | National Vision Holdings | 1.29 Bn | 1.12 Bn | 290.43 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 4, 2026 | 1.74 |
| Jan 3, 2026 | 2.37 |
| Sep 27, 2025 | 2.63 |
| Jun 28, 2025 | 2.16 |
| Mar 29, 2025 | 1.21 |
| Dec 28, 2024 | 1.02 |
| Sep 28, 2024 | 1.03 |
| Jun 29, 2024 | 1.22 |
| Mar 30, 2024 | 2.07 |
| Dec 30, 2023 | 1.98 |
| Sep 30, 2023 | 1.51 |
| Jul 1, 2023 | 2.09 |
| Apr 1, 2023 | 1.64 |
| Dec 31, 2022 | 3.40 |
| Oct 1, 2022 | 2.84 |
| Jul 2, 2022 | 2.49 |
| Apr 2, 2022 | 3.81 |
| Jan 1, 2022 | 4.22 |
| Oct 2, 2021 | 4.63 |
| Jul 3, 2021 | 4.43 |
API Access
National Vision Holdings Price to Book 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-book&ticker=EYE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "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-book&ticker=EYE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();