G Iii Apparel (GIII) Receivables (2010 - 2026)
G Iii Apparel (GIII) reported Receivables of $403.43 million for fiscal Q2 2027 (quarter ended Jul 31, 2026), down 15.1% from $474.93 million a year earlier and down 6.8% from the prior quarter.
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Analysis
G Iii Apparel (GIII) Receivables (2010 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), G Iii Apparel posted Receivables of $537.05 million, down 14.0% from FY2025.
- Receivables has a five-year compound annual growth rate of 1.7% (FY2021 to FY2026).
- By fiscal year, Receivables came in at $624.75 million in FY2025 (+11.1%), $562.36 million in FY2024 (-16.7%), $674.96 million in FY2023 (+11.5%) and $605.51 million in FY2022 (+22.9%).
- The fiscal Q2 2027 figure ranks as the lowest quarterly Receivables since fiscal Q2 2022.
- Year over year, Receivables has now declined in each of the last five quarters, with an average decline of 4.7% over the last eight quarters.
- The high point for year-over-year Receivables in five years was fiscal Q2 2023 (growth of 26.9%); the low point was fiscal Q4 2024 (a decline of 16.7%).
- Per Business Quant data, the three fiscal quarters before Q2 2027 came in at $432.86 million (Q1 2027), $537.05 million (Q4 2026) and $771.75 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 56.18 Bn | 22.38 Bn | 4.80 Bn | 5.24 Bn |
| 2 | Tapestry | 23.99 Bn | 19.95 Bn | 1.56 Bn | 237.10 Mn |
| 3 | Ralph Lauren | 22.76 Bn | 14.85 Bn | 1.44 Bn | 407.20 Mn |
| 4 | Deckers Outdoor | 12.61 Bn | 5.48 Bn | - | 318.98 Mn |
| 5 | Lululemon Athletica | 11.29 Bn | 5.54 Bn | 1.46 Bn | 171.16 Mn |
| 6 | Levi Strauss | 8.02 Bn | 4.60 Bn | 1.07 Bn | 745.20 Mn |
| 7 | V F | 6.86 Bn | 3.48 Bn | 917.04 Mn | 1.22 Bn |
| 8 | Gildan Activewear | 6.55 Bn | 5.47 Bn | 459.76 Mn | 1.08 Bn |
| 9 | Birkenstock Holding | 6.11 Bn | 4.43 Bn | 493.89 Mn | 323.20 Mn |
| 10 | G Iii Apparel | 1.21 Bn | -303.22 Mn | 250.38 Mn | 403.43 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 403.43 Mn |
| Apr 30, 2026 | 432.86 Mn |
| Jan 31, 2026 | 537.05 Mn |
| Oct 31, 2025 | 771.75 Mn |
| Jul 31, 2025 | 474.93 Mn |
| Apr 30, 2025 | 481.06 Mn |
| Jan 31, 2025 | 624.75 Mn |
| Oct 31, 2024 | 879.68 Mn |
| Jul 31, 2024 | 477.47 Mn |
| Apr 30, 2024 | 473.19 Mn |
| Jan 31, 2024 | 562.36 Mn |
| Oct 31, 2023 | 863.22 Mn |
| Jul 31, 2023 | 519.36 Mn |
| Apr 30, 2023 | 494.60 Mn |
| Jan 31, 2023 | 674.96 Mn |
| Oct 31, 2022 | 881.14 Mn |
| Jul 31, 2022 | 488.52 Mn |
| Apr 30, 2022 | 573.61 Mn |
| Jan 31, 2022 | 605.51 Mn |
| Oct 31, 2021 | 844.38 Mn |
API Access
G Iii Apparel Receivables 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=receivables&ticker=GIII&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=GIII&period=max&api_key=YOUR_API_KEY");
const data = await res.json();