G Iii Apparel (GIII) Accounts Payables (2010 - 2026)
G Iii Apparel's Accounts Payables came in at $321.51 million for fiscal Q2 2027 (quarter ended Jul 31, 2026), down 25.4% from $431.03 million a year earlier but up 67.2% from the prior quarter.
G Iii Apparel (GIII) Accounts Payables (2010 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), G Iii Apparel's Accounts Payables was $264.01 million, up 15.7% from FY2025.
- Accounts Payables has increased in each of the last three fiscal years, with a five-year compound annual growth rate of 13.7% (FY2021 to FY2026).
- Going back by fiscal year, Accounts Payables was $228.15 million in FY2025 (+25.0%), $182.53 million in FY2024 (+7.7%), $169.51 million in FY2023 (-28.5%) and $236.92 million in FY2022 (+70.2%).
- The five-year range for quarterly Accounts Payables is $140.06 million (fiscal Q1 2024) to $438.17 million (fiscal Q2 2023).
- Year-over-year, Accounts Payables increased in six of the last eight quarters, with growth averaging 19.9%.
- The fastest year-over-year change in Accounts Payables over five years came in fiscal Q1 2023 (growth of 88.8%), and the weakest in fiscal Q1 2024 (a decline of 35.0%).
- Business Quant data shows GIII's Accounts Payables at $192.28 million (Q1 2027), $264.01 million (Q4 2026) and $334.28 million (Q3 2026) in the three fiscal quarters before Q2 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Accounts Payables (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 52.47 Bn | 18.46 Bn | 5.39 Bn | 3.60 Bn |
| 2 | Tapestry | 23.05 Bn | 19.01 Bn | 1.56 Bn | 582.30 Mn |
| 3 | Ralph Lauren | 21.35 Bn | 13.45 Bn | 1.44 Bn | 556.70 Mn |
| 4 | Deckers Outdoor | 11.12 Bn | 3.99 Bn | - | 384.53 Mn |
| 5 | Lululemon Athletica | 10.25 Bn | 4.50 Bn | 1.46 Bn | 346.72 Mn |
| 6 | Levi Strauss | 7.60 Bn | 4.25 Bn | 979.10 Mn | 598.50 Mn |
| 7 | Gildan Activewear | 6.52 Bn | 5.51 Bn | 459.76 Mn | 1.03 Bn |
| 8 | Birkenstock Holding | 5.97 Bn | 4.27 Bn | 493.89 Mn | 204.02 Mn |
| 9 | Crocs | 5.64 Bn | 5.06 Bn | 700.71 Mn | 262.51 Mn |
| 10 | G Iii Apparel | 1.16 Bn | -351.32 Mn | 250.38 Mn | 321.51 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 321.51 Mn |
| Apr 30, 2026 | 192.28 Mn |
| Jan 31, 2026 | 264.01 Mn |
| Oct 31, 2025 | 334.28 Mn |
| Jul 31, 2025 | 431.03 Mn |
| Apr 30, 2025 | 200.72 Mn |
| Jan 31, 2025 | 228.15 Mn |
| Oct 31, 2024 | 239.88 Mn |
| Jul 31, 2024 | 289.77 Mn |
| Apr 30, 2024 | 158.65 Mn |
| Jan 31, 2024 | 182.53 Mn |
| Oct 31, 2023 | 179.40 Mn |
| Jul 31, 2023 | 294.29 Mn |
| Apr 30, 2023 | 140.06 Mn |
| Jan 31, 2023 | 169.51 Mn |
| Oct 31, 2022 | 223.15 Mn |
| Jul 31, 2022 | 438.17 Mn |
| Apr 30, 2022 | 215.49 Mn |
| Jan 31, 2022 | 236.92 Mn |
| Oct 31, 2021 | 233.89 Mn |
G Iii Apparel Accounts Payables 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=accounts-payables&ticker=GIII&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accounts-payables", "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=accounts-payables&ticker=GIII&period=max&api_key=YOUR_API_KEY");
const data = await res.json();