G Iii Apparel (GIII) Treasury Stock (2010 - 2026)
G Iii Apparel's Treasury Shares came in at $153.98 million for fiscal Q2 2027 (quarter ended Jul 31, 2026), down 0.7% from $155.01 million a year earlier and down 1.7% from the prior quarter.
G Iii Apparel (GIII) Treasury Stock (2010 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), G Iii Apparel's Treasury Shares was $156.68 million, up 34.3% from FY2025.
- Treasury Shares has increased in each of the last five fiscal years, with a five-year compound annual growth rate of 42.1% (FY2021 to FY2026).
- Going back by fiscal year, Treasury Shares was $116.63 million in FY2025 (+77.4%), $65.75 million in FY2024 (+17.8%), $55.82 million in FY2023 (+42.6%) and $39.16 million in FY2022 (+44.9%).
- The fiscal Q2 2027 figure represents the lowest quarterly Treasury Shares since fiscal Q1 2026.
- Year-over-year, Treasury Shares increased in seven of the last eight quarters, with growth averaging 40.7%.
- The fastest year-over-year change in Treasury Shares over five years came in fiscal Q1 2024 (growth of 127.0%), and the weakest in fiscal Q3 2022 (a decline of 20.2%).
- Business Quant data shows GIII's Treasury Shares at $156.65 million (Q1 2027), $156.68 million (Q4 2026) and $156.68 million (Q3 2026) in the three fiscal quarters before Q2 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Treasury Stock (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 59.22 Bn | 25.42 Bn | 4.80 Bn | - |
| 2 | Tapestry | 27.73 Bn | 23.69 Bn | 1.56 Bn | - |
| 3 | Ralph Lauren | 24.01 Bn | 15.93 Bn | 1.63 Bn | 8.99 Bn |
| 4 | Lululemon Athletica | 12.77 Bn | 7.02 Bn | 1.46 Bn | - |
| 5 | Deckers Outdoor | 12.28 Bn | 5.48 Bn | 895.11 Mn | - |
| 6 | Levi Strauss | 9.33 Bn | 5.91 Bn | 1.07 Bn | - |
| 7 | V F | 8.24 Bn | 4.84 Bn | 1.49 Bn | - |
| 8 | Crocs | 7.62 Bn | 7.03 Bn | 689.73 Mn | 3.56 Bn |
| 9 | Birkenstock Holding | 7.23 Bn | 5.55 Bn | 493.89 Mn | - |
| 10 | G Iii Apparel | 1.37 Bn | -139.56 Mn | 250.38 Mn | 153.98 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 153.98 Mn |
| Apr 30, 2026 | 156.65 Mn |
| Jan 31, 2026 | 156.68 Mn |
| Oct 31, 2025 | 156.68 Mn |
| Jul 31, 2025 | 155.01 Mn |
| Apr 30, 2025 | 131.43 Mn |
| Jan 31, 2025 | 116.63 Mn |
| Oct 31, 2024 | 116.69 Mn |
| Jul 31, 2024 | 116.69 Mn |
| Apr 30, 2024 | 87.06 Mn |
| Jan 31, 2024 | 65.75 Mn |
| Oct 31, 2023 | 65.81 Mn |
| Jul 31, 2023 | 65.93 Mn |
| Apr 30, 2023 | 72.54 Mn |
| Jan 31, 2023 | 55.82 Mn |
| Oct 31, 2022 | 45.55 Mn |
| Jul 31, 2022 | 45.62 Mn |
| Apr 30, 2022 | 31.95 Mn |
| Jan 31, 2022 | 39.16 Mn |
| Oct 31, 2021 | 21.94 Mn |
G Iii Apparel Treasury Stock 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=treasury-shares&ticker=GIII&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "treasury-shares", "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=treasury-shares&ticker=GIII&period=max&api_key=YOUR_API_KEY");
const data = await res.json();