Innovative Designs (IVDN) Operating Leases (2019 - 2021)
Innovative Designs' Operating Leases came in at $10,452 for fiscal Q3 2021 (quarter ended Jul 31, 2021), down 77.8% from $47,015 a year earlier and down 49.7% from the prior quarter.
Innovative Designs (IVDN) Operating Leases (2019 - 2021) Analysis & Trends
At the end of FY2020 (ended Oct 31, 2020), Innovative Designs' Operating Leases was $40,962, down 48.4% from FY2019.
- Going back by fiscal year, Operating Leases was $79,373 in FY2019.
- The fiscal Q3 2021 figure represents the lowest quarterly Operating Leases in data going back to fiscal Q2 2019.
- Year-over-year, Operating Leases has declined for six consecutive quarters, with an average decline of 54.5% over the last six quarters.
- Business Quant data shows IVDN's Operating Leases at $20,762 (Q2 2021), $30,931 (Q1 2021) and $40,962 (Q4 2020) in the three fiscal quarters before Q3 2021.
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, 2021 | 10,452.00 |
| Apr 30, 2021 | 20,762.00 |
| Jan 31, 2021 | 30,931.00 |
| Oct 31, 2020 | 40,962.00 |
| Jul 31, 2020 | 47,015.00 |
| Apr 30, 2020 | 56,467.00 |
| Jan 31, 2020 | 69,921.00 |
| Oct 31, 2019 | 79,373.00 |
| Jul 31, 2019 | 88,696.00 |
| Apr 30, 2019 | 86,900.00 |
Innovative Designs Operating Leases 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-leases&ticker=IVDN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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-leases&ticker=IVDN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();