G Iii Apparel (GIII) Payables (2010 - 2026)
G Iii Apparel (GIII) recorded Payables of $325.18 million in fiscal Q2 2027 (quarter ended Jul 31, 2026), down 26.0% from $439.65 million a year earlier but up 59.9% from the prior quarter.
G Iii Apparel (GIII) Payables (2010 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), G Iii Apparel reported Payables of $271.11 million, up 17.2% from FY2025.
- Annual Payables has a five-year compound annual growth rate of 13.6% (FY2021 to FY2026).
- Across earlier fiscal years, Payables came in at $231.27 million in FY2025 (+17.1%), $197.56 million in FY2024 (-35.2%), $305.03 million in FY2023 (+26.5%) and $241.16 million in FY2022 (+68.0%).
- Quarterly Payables has ranged from $182.32 million in fiscal Q1 2025 to $518.28 million in fiscal Q2 2023 over the past five years.
- On a year-over-year basis, Payables rose in six of the last eight quarters, with growth averaging 13.3%.
- Peak year-over-year performance for Payables in the last five years was growth of 100.9% in fiscal Q2 2023, against a decline of 35.2% in fiscal Q4 2024 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $203.33 million (Q1 2027), $271.11 million (Q4 2026) and $338.35 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Payables (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 53.94 Bn | 19.93 Bn | 5.39 Bn | 3.60 Bn |
| 2 | Tapestry | 22.74 Bn | 18.69 Bn | 1.56 Bn | 582.30 Mn |
| 3 | Ralph Lauren | 21.47 Bn | 13.57 Bn | 1.44 Bn | 556.70 Mn |
| 4 | Deckers Outdoor | 11.15 Bn | 4.02 Bn | - | 384.53 Mn |
| 5 | Lululemon Athletica | 10.72 Bn | 4.97 Bn | 1.46 Bn | 346.72 Mn |
| 6 | Levi Strauss | 7.64 Bn | 4.29 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 | 6.06 Bn | 4.37 Bn | 493.89 Mn | 204.02 Mn |
| 9 | Crocs | 5.89 Bn | 5.30 Bn | 700.71 Mn | 262.51 Mn |
| 10 | G Iii Apparel | 1.16 Bn | -350.90 Mn | 250.38 Mn | 325.18 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 325.18 Mn |
| Apr 30, 2026 | 203.33 Mn |
| Jan 31, 2026 | 271.11 Mn |
| Oct 31, 2025 | 338.35 Mn |
| Jul 31, 2025 | 439.65 Mn |
| Apr 30, 2025 | 212.68 Mn |
| Jan 31, 2025 | 231.27 Mn |
| Oct 31, 2024 | 250.16 Mn |
| Jul 31, 2024 | 301.20 Mn |
| Apr 30, 2024 | 182.32 Mn |
| Jan 31, 2024 | 197.56 Mn |
| Oct 31, 2023 | 238.50 Mn |
| Jul 31, 2023 | 357.02 Mn |
| Apr 30, 2023 | 279.48 Mn |
| Jan 31, 2023 | 305.03 Mn |
| Oct 31, 2022 | 314.77 Mn |
| Jul 31, 2022 | 518.28 Mn |
| Apr 30, 2022 | 220.04 Mn |
| Jan 31, 2022 | 241.16 Mn |
| Oct 31, 2021 | 237.96 Mn |
G Iii Apparel 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=payables&ticker=GIII&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=payables&ticker=GIII&period=max&api_key=YOUR_API_KEY");
const data = await res.json();