G Iii Apparel (GIII) Operating Leases (2019 - 2026)
G Iii Apparel (GIII) reported Operating Leases of $281.46 million for fiscal Q2 2027 (quarter ended Jul 31, 2026), up 23.6% from $227.69 million a year earlier and up 25.8% from the prior quarter.
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Analysis
G Iii Apparel (GIII) Operating Leases (2019 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), G Iii Apparel posted Operating Leases of $220.71 million, down 0.2% from FY2025.
- Operating Leases has a five-year compound annual growth rate of 6.4% (FY2021 to FY2026).
- By fiscal year, Operating Leases came in at $221.26 million in FY2025 (+24.1%), $178.25 million in FY2024 (-13.0%), $204.97 million in FY2023 (+43.5%) and $142.87 million in FY2022 (-11.6%).
- The fiscal Q2 2027 figure ranks as the highest quarterly Operating Leases since fiscal Q1 2020.
- Year over year, Operating Leases gained in six of the last eight quarters, with growth averaging 17.9%.
- The high point for year-over-year Operating Leases in five years was fiscal Q1 2024 (growth of 44.9%); the low point was fiscal Q1 2025 (a decline of 16.8%).
- Per Business Quant data, the three fiscal quarters before Q2 2027 came in at $223.78 million (Q1 2027), $220.71 million (Q4 2026) and $221.56 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nike | 53.94 Bn | 19.93 Bn | 5.39 Bn |
| 2 | Tapestry | 22.74 Bn | 18.69 Bn | 1.56 Bn |
| 3 | Ralph Lauren | 21.47 Bn | 13.57 Bn | 1.44 Bn |
| 4 | Deckers Outdoor | 11.15 Bn | 4.02 Bn | - |
| 5 | Lululemon Athletica | 10.72 Bn | 4.97 Bn | 1.46 Bn |
| 6 | Levi Strauss | 7.64 Bn | 4.29 Bn | 979.10 Mn |
| 7 | Gildan Activewear | 6.52 Bn | 5.51 Bn | 459.76 Mn |
| 8 | Birkenstock Holding | 6.06 Bn | 4.37 Bn | 493.89 Mn |
| 9 | Crocs | 5.89 Bn | 5.30 Bn | 700.71 Mn |
| 10 | G Iii Apparel | 1.16 Bn | -350.90 Mn | 250.38 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 281.46 Mn |
| Apr 30, 2026 | 223.78 Mn |
| Jan 31, 2026 | 220.71 Mn |
| Oct 31, 2025 | 221.56 Mn |
| Jul 31, 2025 | 227.69 Mn |
| Apr 30, 2025 | 220.24 Mn |
| Jan 31, 2025 | 221.26 Mn |
| Oct 31, 2024 | 246.83 Mn |
| Jul 31, 2024 | 163.75 Mn |
| Apr 30, 2024 | 168.46 Mn |
| Jan 31, 2024 | 178.25 Mn |
| Oct 31, 2023 | 183.52 Mn |
| Jul 31, 2023 | 192.98 Mn |
| Apr 30, 2023 | 202.41 Mn |
| Jan 31, 2023 | 204.97 Mn |
| Oct 31, 2022 | 185.17 Mn |
| Jul 31, 2022 | 179.25 Mn |
| Apr 30, 2022 | 139.69 Mn |
| Jan 31, 2022 | 142.87 Mn |
| Oct 31, 2021 | 147.69 Mn |
API Access
G Iii Apparel 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=GIII&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "ticker": "GIII", "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=GIII&period=max&api_key=YOUR_API_KEY");
const data = await res.json();