G Iii Apparel (GIII) Long-Term Investments (2010 - 2026)
G Iii Apparel (GIII) reported Long-Term Investments of $105.17 million for fiscal Q2 2027 (quarter ended Jul 31, 2026), down 9.9% from $116.71 million a year earlier and down 2.9% from the prior quarter.
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Analysis
G Iii Apparel (GIII) Long-Term Investments (2010 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), G Iii Apparel posted Long-Term Investments of $110.23 million, up 4.6% from FY2025.
- Long-Term Investments has a five-year compound annual growth rate of 11.7% (FY2021 to FY2026).
- By fiscal year, Long-Term Investments came in at $105.36 million in FY2025 (+368.9%), $22.47 million in FY2024 (-8.2%), $24.47 million in FY2023 (-62.6%) and $65.5 million in FY2022 (+3.1%).
- The fiscal Q2 2027 figure ranks as the lowest quarterly Long-Term Investments since fiscal Q2 2025.
- Year over year, Long-Term Investments gained in six of the last eight quarters, with growth averaging 195.3%.
- The high point for year-over-year Long-Term Investments in five years was fiscal Q2 2026 (growth of 438.4%); the low point was fiscal Q1 2024 (a decline of 69.3%).
- Per Business Quant data, the three fiscal quarters before Q2 2027 came in at $108.29 million (Q1 2027), $110.23 million (Q4 2026) and $117.45 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Long-Term Investments (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 50.34 Bn | 16.54 Bn | 4.80 Bn | - |
| 2 | Tapestry | 23.66 Bn | 19.62 Bn | 1.56 Bn | 177.30 Mn |
| 3 | Ralph Lauren | 21.85 Bn | 13.95 Bn | 1.44 Bn | - |
| 4 | Deckers Outdoor | 11.26 Bn | 4.14 Bn | - | - |
| 5 | Lululemon Athletica | 10.07 Bn | 4.32 Bn | 1.46 Bn | - |
| 6 | Levi Strauss | 7.67 Bn | 4.32 Bn | 979.10 Mn | - |
| 7 | Gildan Activewear | 6.27 Bn | 5.26 Bn | 459.76 Mn | - |
| 8 | Birkenstock Holding | 6.13 Bn | 4.43 Bn | 493.89 Mn | - |
| 9 | Crocs | 5.68 Bn | 5.09 Bn | 700.71 Mn | - |
| 10 | G Iii Apparel | 1.17 Bn | -340.60 Mn | 250.38 Mn | 105.17 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 105.17 Mn |
| Apr 30, 2026 | 108.29 Mn |
| Jan 31, 2026 | 110.23 Mn |
| Oct 31, 2025 | 117.45 Mn |
| Jul 31, 2025 | 116.71 Mn |
| Apr 30, 2025 | 111.18 Mn |
| Jan 31, 2025 | 105.36 Mn |
| Oct 31, 2024 | 109.91 Mn |
| Jul 31, 2024 | 21.68 Mn |
| Apr 30, 2024 | 22.01 Mn |
| Jan 31, 2024 | 22.47 Mn |
| Oct 31, 2023 | 24.35 Mn |
| Jul 31, 2023 | 27.09 Mn |
| Apr 30, 2023 | 27.59 Mn |
| Jan 31, 2023 | 24.47 Mn |
| Oct 31, 2022 | 25.87 Mn |
| Jul 31, 2022 | 26.12 Mn |
| Apr 30, 2022 | 89.83 Mn |
| Jan 31, 2022 | 65.50 Mn |
| Oct 31, 2021 | 61.41 Mn |
API Access
G Iii Apparel Long-Term Investments 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=long-term-investments&ticker=GIII&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-investments", "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=long-term-investments&ticker=GIII&period=max&api_key=YOUR_API_KEY");
const data = await res.json();