Innovative Designs (IVDN) Price to Earnings (2011 - 2026)
Innovative Designs' (IVDN) Price to Earnings came in at 17.19 for fiscal Q3 2026 (quarter ended Jul 31, 2026), down 5.6% from 18.20 a year earlier and down 16.8% from the prior quarter.
Innovative Designs (IVDN) Price to Earnings (2011 - 2026) Analysis & Trends
For FY2025 (ended Oct 31, 2025), Innovative Designs' Price to Earnings stood at 19.93, down 49.1% from FY2024.
- In prior fiscal years, Innovative Designs' Price to Earnings was 39.13 in FY2024.
- Quarterly Price to Earnings has run from a low of 12.85 in fiscal Q1 2026 to a high of 323.03 in fiscal Q2 2023 over five years.
- On a year-over-year basis, Price to Earnings has declined in each of the last four quarters, with an average decline of 41.2% over the last four quarters.
- According to Business Quant data, Price to Earnings for the three prior fiscal quarters was 20.67 (Q2 2026), 12.85 (Q1 2026) and 19.95 (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nike | 50.34 Bn | 16.54 Bn | 4.80 Bn |
| 2 | Tapestry | 23.66 Bn | 19.62 Bn | 1.56 Bn |
| 3 | Ralph Lauren | 21.85 Bn | 13.95 Bn | 1.44 Bn |
| 4 | Deckers Outdoor | 11.26 Bn | 4.14 Bn | - |
| 5 | Lululemon Athletica | 10.07 Bn | 4.32 Bn | 1.46 Bn |
| 6 | Levi Strauss | 7.67 Bn | 4.32 Bn | 979.10 Mn |
| 7 | Gildan Activewear | 6.27 Bn | 5.26 Bn | 459.76 Mn |
| 8 | Birkenstock Holding | 6.13 Bn | 4.43 Bn | 493.89 Mn |
| 9 | Crocs | 5.68 Bn | 5.09 Bn | 700.71 Mn |
| 10 | Innovative Designs | 8.86 Mn | 6.30 Mn | 335,266.00 |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 17.19 |
| Apr 30, 2026 | 20.67 |
| Jan 31, 2026 | 12.85 |
| Oct 31, 2025 | 19.95 |
| Jul 31, 2025 | 18.20 |
| Apr 30, 2025 | 30.52 |
| Jan 31, 2025 | 58.47 |
| Oct 31, 2024 | 39.13 |
| Apr 30, 2023 | 323.03 |
| Oct 31, 2011 | 211.86 |
Innovative Designs 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=IVDN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "ticker": "IVDN", "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=IVDN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();