G Iii Apparel (GIII) Capital Expenditures (2010 - 2026)
G Iii Apparel's Capital Expenditures came in at $9.12 million for fiscal Q2 2027 (quarter ended Jul 31, 2026), down 11.9% from $10.34 million a year earlier but up 7.8% from the prior quarter.
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Analysis
G Iii Apparel (GIII) Capital Expenditures (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jul 31, 2026, G Iii Apparel reported Capital Expenditures of $34.38 million, down 6.2% year-over-year; for FY2026 (ended Jan 31, 2026), it was $35.22 million, down 15.2% from FY2025.
- Capital Expenditures carries a five-year compound annual growth rate of 17.0% (FY2021 to FY2026).
- Going back by fiscal year, Capital Expenditures was $41.52 million in FY2025 (+68.2%), $24.68 million in FY2024 (+14.6%), $21.53 million in FY2023 (+17.9%) and $18.26 million in FY2022 (+13.9%).
- The five-year range for quarterly Capital Expenditures is $4.19 million (fiscal Q2 2023) to $12.72 million (fiscal Q1 2025).
- Year-over-year, Capital Expenditures increased in four of the last eight quarters, with growth averaging 4.5%.
- The fastest year-over-year change in Capital Expenditures over five years came in fiscal Q1 2025 (growth of 155.5%), and the weakest in fiscal Q1 2026 (a decline of 36.5%).
- Business Quant data shows GIII's Capital Expenditures at $8.46 million (Q1 2027), $7.68 million (Q4 2026) and $9.13 million (Q3 2026) in the three fiscal quarters before Q2 2027.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 53.14 Bn | 19.13 Bn | 5.39 Bn | 138.00 Mn |
| 2 | Tapestry | 22.87 Bn | 18.83 Bn | 1.56 Bn | 53.20 Mn |
| 3 | Ralph Lauren | 21.39 Bn | 13.49 Bn | 1.44 Bn | 53.40 Mn |
| 4 | Deckers Outdoor | 11.06 Bn | 3.93 Bn | - | - |
| 5 | Lululemon Athletica | 10.32 Bn | 4.58 Bn | 1.46 Bn | 149.68 Mn |
| 6 | Levi Strauss | 7.62 Bn | 4.28 Bn | 979.10 Mn | 39.90 Mn |
| 7 | Gildan Activewear | 6.55 Bn | 5.54 Bn | 459.76 Mn | -19.85 Mn |
| 8 | Birkenstock Holding | 6.07 Bn | 4.38 Bn | 493.89 Mn | -30.49 Mn |
| 9 | Crocs | 5.90 Bn | 5.31 Bn | 700.71 Mn | 20.73 Mn |
| 10 | G Iii Apparel | 1.17 Bn | -345.75 Mn | 250.38 Mn | 9.12 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 9.12 Mn |
| Apr 30, 2026 | 8.46 Mn |
| Jan 31, 2026 | 7.68 Mn |
| Oct 31, 2025 | 9.13 Mn |
| Jul 31, 2025 | 10.34 Mn |
| Apr 30, 2025 | 8.08 Mn |
| Jan 31, 2025 | 9.76 Mn |
| Oct 31, 2024 | 8.48 Mn |
| Jul 31, 2024 | 10.55 Mn |
| Apr 30, 2024 | 12.72 Mn |
| Jan 31, 2024 | 9.03 Mn |
| Oct 31, 2023 | 4.54 Mn |
| Jul 31, 2023 | 6.14 Mn |
| Apr 30, 2023 | 4.98 Mn |
| Jan 31, 2023 | 6.73 Mn |
| Oct 31, 2022 | 6.28 Mn |
| Jul 31, 2022 | 4.19 Mn |
| Apr 30, 2022 | 4.33 Mn |
| Jan 31, 2022 | 5.26 Mn |
| Oct 31, 2021 | 5.48 Mn |
API Access
G Iii Apparel Capital Expenditures 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=capital-expenditures&ticker=GIII&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=GIII&period=max&api_key=YOUR_API_KEY");
const data = await res.json();