National Vision Holdings (EYE) EV to EBITDA (2017 - 2026)
National Vision Holdings' (EYE) EV to EBITDA was 10.50 for Q2 2027, down 41.7% from 18.02 a year earlier.
National Vision Holdings (EYE) EV to EBITDA (2017 - 2026) Analysis & Trends
Over the twelve months ended Jul 4, 2026, National Vision Holdings' EV to EBITDA came in at 9.51, down 39.2% year-over-year; for FY2026, it came in at 13.48.
- By year, EV to EBITDA came in at 9.35 in FY2024 (-20.9%), 11.83 in FY2023 (-33.7%) and 17.84 in FY2022 (+37.1%).
- The Q2 2027 figure ranks as the lowest quarterly EV to EBITDA since Q1 2021.
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
| Date | Value |
|---|---|
| Jul 4, 2026 | 10.50 |
| Jan 3, 2026 | 13.48 |
| Sep 27, 2025 | 18.85 |
| Jun 28, 2025 | 18.02 |
| Mar 29, 2025 | 11.19 |
| Dec 28, 2024 | 9.35 |
| Sep 28, 2024 | 8.13 |
| Jun 29, 2024 | 7.62 |
| Mar 30, 2024 | 13.33 |
| Dec 30, 2023 | 11.83 |
| Sep 30, 2023 | 8.36 |
| Jul 1, 2023 | 12.55 |
| Apr 1, 2023 | 8.53 |
| Dec 31, 2022 | 18.54 |
| Oct 1, 2022 | 7.27 |
| Jul 2, 2022 | 5.53 |
| Apr 2, 2022 | 8.47 |
| Jan 1, 2022 | 8.73 |
| Oct 2, 2021 | 13.08 |
| Jul 3, 2021 | 16.94 |
National Vision Holdings EV to EBITDA 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=ev-to-ebitda&ticker=EYE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebitda", "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=ev-to-ebitda&ticker=EYE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();