G Iii Apparel (GIII) Short-Term Debt repayments (2017 - 2026)
G Iii Apparel (GIII) recorded Short-Term Debt repayments of $48.26 million in fiscal Q2 2027 (quarter ended Jul 31, 2026), up 21.7% from $39.65 million a year earlier but down 72.6% from the prior quarter.
G Iii Apparel (GIII) Short-Term Debt repayments (2017 - 2026) Analysis & Trends
On a TTM basis, G Iii Apparel's Short-Term Debt repayments came in at $317.34 million as of Jul 31, 2026, down 34.9% year-over-year; for FY2026 (ended Jan 31, 2026), it was $165.13 million, down 66.0% from FY2025.
- Annual Short-Term Debt repayments has a five-year compound annual growth rate of -33.7% (FY2021 to FY2026).
- Across earlier fiscal years, Short-Term Debt repayments came in at $485.11 million in FY2025 (+247.9%), $139.43 million in FY2024 (-72.5%), $507.17 million in FY2023 and $1.48 million in FY2022 (-99.9%).
- Quarterly Short-Term Debt repayments has ranged from $356,000 in fiscal Q1 2023 to $334.65 million in fiscal Q4 2023 over the past five years.
- On a year-over-year basis, Short-Term Debt repayments rose in six of the last eight quarters, with growth averaging 207.7%.
- Peak year-over-year performance for Short-Term Debt repayments in the last five years was growth of 863.6% in fiscal Q4 2025, against a decline of 99.9% in fiscal Q1 2023 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $176.04 million (Q1 2027), $51.16 million (Q4 2026) and $41.88 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ST Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 56.59 Bn | 22.79 Bn | 4.80 Bn | - |
| 2 | Tapestry | 23.22 Bn | 19.18 Bn | 1.56 Bn | - |
| 3 | Ralph Lauren | 22.91 Bn | 15.01 Bn | 1.44 Bn | - |
| 4 | Deckers Outdoor | 12.28 Bn | 5.16 Bn | - | - |
| 5 | Lululemon Athletica | 11.66 Bn | 5.91 Bn | 1.46 Bn | - |
| 6 | Levi Strauss | 8.28 Bn | 4.86 Bn | 1.07 Bn | - |
| 7 | V F | 6.86 Bn | 3.48 Bn | 917.04 Mn | - |
| 8 | Gildan Activewear | 6.60 Bn | 5.52 Bn | 459.76 Mn | - |
| 9 | Birkenstock Holding | 6.28 Bn | 4.60 Bn | 493.89 Mn | - |
| 10 | G Iii Apparel | 1.26 Bn | -251.92 Mn | 250.38 Mn | 48.26 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 48.26 Mn |
| Apr 30, 2026 | 176.04 Mn |
| Jan 31, 2026 | 51.16 Mn |
| Oct 31, 2025 | 41.88 Mn |
| Jul 31, 2025 | 39.65 Mn |
| Apr 30, 2025 | 32.44 Mn |
| Jan 31, 2025 | 305.25 Mn |
| Oct 31, 2024 | 239.18 Mn |
| Jul 31, 2024 | 39.14 Mn |
| Apr 30, 2024 | 54.07 Mn |
| Jan 31, 2024 | 33.33 Mn |
| Oct 31, 2023 | 58.41 Mn |
| Jul 31, 2023 | 39.04 Mn |
| Apr 30, 2023 | 121.47 Mn |
| Jan 31, 2023 | 381.64 Mn |
| Oct 31, 2022 | 191.78 Mn |
| Jul 31, 2022 | 8.89 Mn |
| Apr 30, 2022 | 356,000.00 |
| Jan 31, 2022 | 1.21 Mn |
| Apr 30, 2021 | 418.36 Mn |
G Iii Apparel Short-Term Debt repayments 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=short-term-debt-repayments&ticker=GIII&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "short-term-debt-repayments", "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=short-term-debt-repayments&ticker=GIII&period=max&api_key=YOUR_API_KEY");
const data = await res.json();