Innovative Designs (IVDN) EV to EBITDA (2011 - 2026)
Innovative Designs' (IVDN) EV to EBITDA stood at 14.77 in fiscal Q3 2026 (quarter ended Jul 31, 2026), down 9.3% from 16.28 a year earlier and down 22.4% from the prior quarter.
Innovative Designs (IVDN) EV to EBITDA (2011 - 2026) Analysis & Trends
On a TTM basis, Innovative Designs' EV to EBITDA came in at 11.65 as of Jul 31, 2026, down 24.7% year-over-year; for FY2025 (ended Oct 31, 2025), it was 18.19, down 30.3% from FY2024.
- Across earlier fiscal years, EV to EBITDA came in at 26.10 in FY2024.
- Quarterly EV to EBITDA has ranged from 11.31 in fiscal Q1 2026 to 48.62 in fiscal Q1 2025 over the past five years.
- On a year-over-year basis, EV to EBITDA has declined for four consecutive quarters, with an average decline of 37.1% over the last four quarters.
- Per Business Quant, the preceding three fiscal quarters came in at 19.02 (Q2 2026), 11.31 (Q1 2026) and 18.19 (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nike | 52.47 Bn | 18.46 Bn | 5.39 Bn |
| 2 | Tapestry | 23.05 Bn | 19.01 Bn | 1.56 Bn |
| 3 | Ralph Lauren | 21.35 Bn | 13.45 Bn | 1.44 Bn |
| 4 | Deckers Outdoor | 11.12 Bn | 3.99 Bn | - |
| 5 | Lululemon Athletica | 10.25 Bn | 4.50 Bn | 1.46 Bn |
| 6 | Levi Strauss | 7.60 Bn | 4.25 Bn | 979.10 Mn |
| 7 | Gildan Activewear | 6.52 Bn | 5.51 Bn | 459.76 Mn |
| 8 | Birkenstock Holding | 5.97 Bn | 4.27 Bn | 493.89 Mn |
| 9 | Crocs | 5.64 Bn | 5.06 Bn | 700.71 Mn |
| 10 | Innovative Designs | 8.86 Mn | 6.30 Mn | 335,266.00 |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 14.77 |
| Apr 30, 2026 | 19.02 |
| Jan 31, 2026 | 11.31 |
| Oct 31, 2025 | 18.19 |
| Jul 31, 2025 | 16.28 |
| Apr 30, 2025 | 28.03 |
| Jan 31, 2025 | 48.62 |
| Oct 31, 2024 | 26.10 |
| Oct 31, 2011 | 34.29 |
| Jul 31, 2011 | 60.63 |
Innovative Designs 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=IVDN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebitda", "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=ev-to-ebitda&ticker=IVDN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();