Innovative Designs (IVDN) Gross Margin (2010 - 2026)
Innovative Designs (IVDN) recorded Gross Margin of 44.22% in fiscal Q3 2026 (quarter ended Jul 31, 2026), up 2.34 percentage points from 41.87% a year earlier but down 4.49 percentage points from the prior quarter.
Innovative Designs (IVDN) Gross Margin (2010 - 2026) Analysis & Trends
On a TTM basis, Innovative Designs' Gross Margin came in at 49.93% as of Jul 31, 2026, up 0.48 percentage points year-over-year; for FY2025 (ended Oct 31, 2025), it came in at 49.17%, up 3.68 percentage points from FY2024.
- Annual Gross Margin has a five-year change of +14.08 percentage points (FY2020 to FY2025).
- Across earlier fiscal years, Gross Margin came in at 45.49% in FY2024 (-6.26 pp), 51.75% in FY2023 (+8.53 pp), 43.22% in FY2022 (-13.91 pp) and 57.12% in FY2021 (+22.03 pp).
- Quarterly Gross Margin has ranged from -57.10% in fiscal Q4 2022 to 76.26% in fiscal Q1 2023 over the past five years.
- On a year-over-year basis, Gross Margin rose in five of the last eight quarters, with an average year-over-year change of +2.80 percentage points.
- Peak year-over-year performance for Gross Margin in the last five years was a gain of 149.21 percentage points in fiscal Q4 2021, against a drop of 119.76 percentage points in fiscal Q4 2022 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at 48.70% (Q2 2026), 60.84% (Q1 2026) and 47.99% (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Gross Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 52.47 Bn | 18.46 Bn | 5.39 Bn | 49.15% |
| 2 | Tapestry | 23.05 Bn | 19.01 Bn | 1.56 Bn | 83.32% |
| 3 | Ralph Lauren | 21.35 Bn | 13.45 Bn | 1.44 Bn | 73.69% |
| 4 | Deckers Outdoor | 11.12 Bn | 3.99 Bn | - | - |
| 5 | Lululemon Athletica | 10.25 Bn | 4.50 Bn | 1.46 Bn | 60.52% |
| 6 | Levi Strauss | 7.60 Bn | 4.25 Bn | 979.10 Mn | 62.68% |
| 7 | Gildan Activewear | 6.52 Bn | 5.51 Bn | 459.76 Mn | 29.05% |
| 8 | Birkenstock Holding | 5.97 Bn | 4.27 Bn | 493.89 Mn | 59.05% |
| 9 | Crocs | 5.64 Bn | 5.06 Bn | 700.71 Mn | 59.41% |
| 10 | Innovative Designs | 8.86 Mn | 6.30 Mn | 335,266.00 | 44.22% |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 44.22% |
| Apr 30, 2026 | 48.70% |
| Jan 31, 2026 | 60.84% |
| Oct 31, 2025 | 47.99% |
| Jul 31, 2025 | 41.87% |
| Apr 30, 2025 | 50.29% |
| Jan 31, 2025 | 57.52% |
| Oct 31, 2024 | 48.88% |
| Jul 31, 2024 | 31.73% |
| Apr 30, 2024 | 49.54% |
| Jan 31, 2024 | 47.15% |
| Oct 31, 2023 | 50.93% |
| Jul 31, 2023 | 38.64% |
| Apr 30, 2023 | 51.01% |
| Jan 31, 2023 | 76.26% |
| Oct 31, 2022 | -57.10% |
| Jul 31, 2022 | 58.37% |
| Apr 30, 2022 | 43.49% |
| Jan 31, 2022 | 48.16% |
| Oct 31, 2021 | 62.66% |
Innovative Designs Gross Margin 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=gross-margin&ticker=IVDN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "gross-margin", "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=gross-margin&ticker=IVDN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();