Innovative Designs (IVDN) Operating Expenses (2010 - 2026)
Innovative Designs (IVDN) posted Operating Expenses of $701,880 for fiscal Q3 2026 (quarter ended Jul 31, 2026), up 27.9% from $548,932 a year earlier and up 0.3% from the prior quarter.
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Analysis
Innovative Designs (IVDN) Operating Expenses (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jul 31, 2026, Operating Expenses at Innovative Designs was $2.48 million, up 14.3% year-over-year; for FY2025 (ended Oct 31, 2025), it was $2.26 million, up 81.2% from FY2024.
- Annual Operating Expenses shows a five-year compound annual growth rate of 36.8% (FY2020 to FY2025).
- In prior fiscal years, Innovative Designs' Operating Expenses was $1.25 million in FY2024 (+97.8%), $631,853 in FY2023 (-22.3%), $813,151 in FY2022 (+59.9%) and $508,444 in FY2021 (+7.6%).
- The fiscal Q3 2026 figure stands as the highest quarterly Operating Expenses in data going back to fiscal Q3 2010.
- On a year-over-year basis, Operating Expenses increased in seven of the last eight quarters, with growth averaging 96.8%.
- The strongest year-over-year quarter for Operating Expenses in the past five years was fiscal Q1 2025, with growth of 317.5%; the weakest was fiscal Q2 2023, with a decline of 59.8%.
- According to Business Quant data, Operating Expenses for the three prior fiscal quarters was $699,968 (Q2 2026), $464,122 (Q1 2026) and $617,214 (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 52.47 Bn | 18.46 Bn | 5.39 Bn | 4.08 Bn |
| 2 | Tapestry | 23.05 Bn | 19.01 Bn | 1.56 Bn | 1.12 Bn |
| 3 | Ralph Lauren | 21.35 Bn | 13.45 Bn | 1.44 Bn | 1.10 Bn |
| 4 | Deckers Outdoor | 11.12 Bn | 3.99 Bn | - | - |
| 5 | Lululemon Athletica | 10.25 Bn | 4.50 Bn | 1.46 Bn | 1.01 Bn |
| 6 | Levi Strauss | 7.60 Bn | 4.25 Bn | 979.10 Mn | 856.90 Mn |
| 7 | Gildan Activewear | 6.52 Bn | 5.51 Bn | 459.76 Mn | 283.86 Mn |
| 8 | Birkenstock Holding | 5.97 Bn | 4.27 Bn | 493.89 Mn | -37.80 Mn |
| 9 | Crocs | 5.64 Bn | 5.06 Bn | 700.71 Mn | 415.03 Mn |
| 10 | Innovative Designs | 8.86 Mn | 6.30 Mn | 335,266.00 | 701,880.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 701,880.00 |
| Apr 30, 2026 | 699,968.00 |
| Jan 31, 2026 | 464,122.00 |
| Oct 31, 2025 | 617,214.00 |
| Jul 31, 2025 | 548,932.00 |
| Apr 30, 2025 | 595,696.00 |
| Jan 31, 2025 | 503,129.00 |
| Oct 31, 2024 | 524,230.00 |
| Jul 31, 2024 | 332,202.00 |
| Apr 30, 2024 | 272,600.00 |
| Jan 31, 2024 | 120,506.00 |
| Oct 31, 2023 | 165,097.00 |
| Jul 31, 2023 | 201,424.00 |
| Apr 30, 2023 | 121,091.00 |
| Jan 31, 2023 | 130,892.00 |
| Oct 31, 2022 | 158,055.00 |
| Jul 31, 2022 | 171,608.00 |
| Apr 30, 2022 | 301,269.00 |
| Jan 31, 2022 | 182,964.00 |
| Oct 31, 2021 | 154,094.00 |
API Access
Innovative Designs 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=IVDN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=IVDN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();