G Iii Apparel (GIII) Property, Plant & Equipment (Net) (2010 - 2026)
G Iii Apparel's Property, Plant & Equipment (Net) came in at $80.74 million for fiscal Q2 2027 (quarter ended Jul 31, 2026), up 2.3% from $78.89 million a year earlier and up 2.0% from the prior quarter.
G Iii Apparel (GIII) Property, Plant & Equipment (Net) (2010 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), G Iii Apparel's Property, Plant & Equipment (Net) was $78.04 million, up 12.6% from FY2025.
- Property, Plant & Equipment (Net) has increased in each of the last four fiscal years, with a five-year compound annual growth rate of 6.5% (FY2021 to FY2026).
- Going back by fiscal year, Property, Plant & Equipment (Net) was $69.32 million in FY2025 (+25.8%), $55.08 million in FY2024 (+2.5%), $53.74 million in FY2023 (+10.1%) and $48.81 million in FY2022 (-14.5%).
- The fiscal Q2 2027 figure represents the highest quarterly Property, Plant & Equipment (Net) since fiscal Q3 2020.
- Year-over-year, Property, Plant & Equipment (Net) has increased for 11 consecutive quarters, with growth averaging 17.1% over the last eight quarters.
- The fastest year-over-year change in Property, Plant & Equipment (Net) over five years came in fiscal Q3 2025 (growth of 35.1%), and the weakest in fiscal Q3 2022 (a decline of 18.1%).
- Business Quant data shows GIII's Property, Plant & Equipment (Net) at $79.17 million (Q1 2027), $78.04 million (Q4 2026) and $79.82 million (Q3 2026) in the three fiscal quarters before Q2 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 50.34 Bn | 16.54 Bn | 4.80 Bn | 4.89 Bn |
| 2 | Tapestry | 23.66 Bn | 19.62 Bn | 1.56 Bn | 502.10 Mn |
| 3 | Ralph Lauren | 21.85 Bn | 13.95 Bn | 1.44 Bn | 1.05 Bn |
| 4 | Deckers Outdoor | 11.26 Bn | 4.14 Bn | - | 337.78 Mn |
| 5 | Lululemon Athletica | 10.07 Bn | 4.32 Bn | 1.46 Bn | 2.05 Bn |
| 6 | Levi Strauss | 7.67 Bn | 4.32 Bn | 979.10 Mn | 659.80 Mn |
| 7 | Gildan Activewear | 6.27 Bn | 5.26 Bn | 459.76 Mn | 1.32 Bn |
| 8 | Birkenstock Holding | 6.13 Bn | 4.43 Bn | 493.89 Mn | 472.48 Mn |
| 9 | Crocs | 5.68 Bn | 5.09 Bn | 700.71 Mn | 246.08 Mn |
| 10 | G Iii Apparel | 1.17 Bn | -340.60 Mn | 250.38 Mn | 80.74 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 80.74 Mn |
| Apr 30, 2026 | 79.17 Mn |
| Jan 31, 2026 | 78.04 Mn |
| Oct 31, 2025 | 79.82 Mn |
| Jul 31, 2025 | 78.89 Mn |
| Apr 30, 2025 | 72.82 Mn |
| Jan 31, 2025 | 69.32 Mn |
| Oct 31, 2024 | 70.30 Mn |
| Jul 31, 2024 | 66.61 Mn |
| Apr 30, 2024 | 60.59 Mn |
| Jan 31, 2024 | 55.08 Mn |
| Oct 31, 2023 | 52.03 Mn |
| Jul 31, 2023 | 53.79 Mn |
| Apr 30, 2023 | 53.16 Mn |
| Jan 31, 2023 | 53.74 Mn |
| Oct 31, 2022 | 54.19 Mn |
| Jul 31, 2022 | 54.42 Mn |
| Apr 30, 2022 | 47.27 Mn |
| Jan 31, 2022 | 48.81 Mn |
| Oct 31, 2021 | 49.95 Mn |
G Iii Apparel Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=GIII&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=GIII&period=max&api_key=YOUR_API_KEY");
const data = await res.json();