Innovative Eyewear (LUCY) Price to Book (2022 - 2026)
Innovative Eyewear's (LUCY) Price to Book stood at 0.06 in Q2 2026, up 144.3% from 0.02 a year earlier.
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Analysis
Innovative Eyewear (LUCY) Price to Book (2022 - 2026) Analysis & Trends
For FY2025, Innovative Eyewear's Price to Book came in at 0.02, up 114.1% from FY2024.
- Across earlier years, Price to Book came in at 0.01 in FY2024 (+73.9%), 0.00 in FY2023 (-65.3%) and 0.01 in FY2022.
- The Q2 2026 figure is the highest quarterly Price to Book in data going back to Q3 2022.
- On a year-over-year basis, Price to Book rose in six of the last seven quarters, with growth averaging 128.8%.
- Peak year-over-year performance for Price to Book in the last five years was growth of 411.4% in Q3 2025, against a decline of 65.3% in Q4 2023 at the low end.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | SharkNinja | 25.37 Bn | 23.04 Bn | 860.34 Mn |
| 2 | Somnigroup International | 13.07 Bn | 12.62 Bn | 817.20 Mn |
| 3 | Hni | 3.27 Bn | 2.84 Bn | 647.20 Mn |
| 4 | Newell Brands | 2.25 Bn | 1.41 Bn | 812.00 Mn |
| 5 | Sonos | 2.12 Bn | 1.02 Bn | 189.31 Mn |
| 6 | Whirlpool | 1.99 Bn | -1.49 Bn | 442.00 Mn |
| 7 | Corsair Gaming | 1.46 Bn | 1.00 Bn | 104.29 Mn |
| 8 | Millerknoll | 1.35 Bn | 714.71 Mn | 385.30 Mn |
| 9 | Arhaus | 1.34 Bn | 420.59 Mn | 172.07 Mn |
| 10 | Innovative Eyewear | 5.83 Mn | -18.75 Mn | 242,515.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 0.06 |
| Dec 31, 2025 | 0.02 |
| Sep 30, 2025 | 0.04 |
| Jun 30, 2025 | 0.02 |
| Mar 31, 2025 | 0.03 |
| Dec 31, 2024 | 0.01 |
| Sep 30, 2024 | 0.01 |
| Jun 30, 2024 | 0.01 |
| Mar 31, 2024 | 0.01 |
| Dec 31, 2023 | 0.00 |
| Sep 30, 2023 | 0.01 |
| Jun 30, 2023 | 0.01 |
| Mar 31, 2023 | 0.02 |
| Dec 31, 2022 | 0.01 |
| Sep 30, 2022 | 0.03 |
API Access
Innovative Eyewear 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=LUCY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "ticker": "LUCY", "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=LUCY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();