Innovative Eyewear Inc (LUCYW) Operating Expenses (2021 - 2026)
Innovative Eyewear's Operating Expenses came in at $1.95 million for Q2 2026, down 9.8% from $2.16 million a year earlier.
Innovative Eyewear Inc (LUCYW) Operating Expenses (2021 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Innovative Eyewear reported Operating Expenses of $8.89 million, up 6.2% year-over-year; for FY2025, it came in at $9.06 million, up 11.3% from FY2024.
- Operating Expenses has increased in each of the last four years, with a four-year compound annual growth rate of 28.2% (FY2021 to FY2025).
- Going back by year, Operating Expenses was $8.14 million in FY2024 (+20.8%), $6.74 million in FY2023 (+22.0%), $5.52 million in FY2022 (+64.6%) and $3.35 million in FY2021.
- The Q2 2026 figure represents the lowest quarterly Operating Expenses since Q3 2024.
- Year-over-year, Operating Expenses increased in five of the last seven quarters, with growth averaging 6.1%.
- The fastest year-over-year change in Operating Expenses over five years came in Q2 2022 (growth of 116.1%), and the weakest in Q2 2026 (a decline of 9.8%).
Peer Comparison
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.95 Mn |
| Dec 31, 2025 | 2.61 Mn |
| Sep 30, 2025 | 2.17 Mn |
| Jun 30, 2025 | 2.16 Mn |
| Mar 31, 2025 | 2.12 Mn |
| Dec 31, 2024 | 2.27 Mn |
| Sep 30, 2024 | 1.82 Mn |
| Jun 30, 2024 | 2.03 Mn |
| Mar 31, 2024 | 2.02 Mn |
| Dec 31, 2023 | 2.32 Mn |
| Sep 30, 2023 | 1.68 Mn |
| Jun 30, 2023 | 1.30 Mn |
| Mar 31, 2023 | 1.44 Mn |
| Dec 31, 2022 | 1.68 Mn |
| Sep 30, 2022 | 1.39 Mn |
| Jun 30, 2022 | 1.19 Mn |
| Mar 31, 2022 | 1.26 Mn |
| Dec 31, 2021 | 1.45 Mn |
| Sep 30, 2021 | 1.13 Mn |
| Jun 30, 2021 | 550,459.00 |
Innovative Eyewear Inc Operating Expenses 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=operating-expenses&ticker=LUCYW&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "LUCYW", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=operating-expenses&ticker=LUCYW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();