G Iii Apparel (GIII) Operating Interest Expenses (2010 - 2025)
G Iii Apparel's Operating Interest Expenses was $461,000 in fiscal Q1 2026 (quarter ended Apr 30, 2025), down 91.5% from $5.42 million a year earlier and down 78.9% from the prior quarter.
G Iii Apparel (GIII) Operating Interest Expenses (2010 - 2025) Analysis & Trends
On a trailing twelve-month basis, G Iii Apparel's Operating Interest Expenses was $13.88 million through Apr 30, 2025, down 57.8% year-over-year; for FY2025 (ended Jan 31, 2025), it was $18.84 million, down 52.4% from FY2024.
- Operating Interest Expenses shows a five-year compound annual growth rate of -15.8% (FY2020 to FY2025).
- In earlier fiscal years, Operating Interest Expenses was $39.6 million in FY2024 (-30.0%), $56.6 million in FY2023 (+14.0%), $49.67 million in FY2022 (-1.4%) and $50.35 million in FY2021 (+13.4%).
- The fiscal Q1 2026 figure marks the lowest quarterly Operating Interest Expenses in data going back to fiscal Q2 2011.
- Compared with a year earlier, Operating Interest Expenses has declined for nine straight quarters, with an average decline of 52.3% over the last eight quarters.
- The best year-over-year quarter for Operating Interest Expenses over five years was fiscal Q3 2021 (growth of 49.2%); the worst was fiscal Q1 2026 (a decline of 91.5%).
- Per Business Quant data, GIII's Operating Interest Expenses in the three fiscal quarters before Q1 2026 was $2.18 million (Q4 2025), $6.36 million (Q3 2025) and $4.88 million (Q2 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Op. Interest Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 52.47 Bn | 18.46 Bn | 5.39 Bn | - |
| 2 | Tapestry | 23.05 Bn | 19.01 Bn | 1.56 Bn | - |
| 3 | Ralph Lauren | 21.35 Bn | 13.45 Bn | 1.44 Bn | - |
| 4 | Deckers Outdoor | 11.12 Bn | 3.99 Bn | - | - |
| 5 | Lululemon Athletica | 10.25 Bn | 4.50 Bn | 1.46 Bn | - |
| 6 | Levi Strauss | 7.60 Bn | 4.25 Bn | 979.10 Mn | - |
| 7 | Gildan Activewear | 6.52 Bn | 5.51 Bn | 459.76 Mn | - |
| 8 | Birkenstock Holding | 5.97 Bn | 4.27 Bn | 493.89 Mn | - |
| 9 | Crocs | 5.64 Bn | 5.06 Bn | 700.71 Mn | - |
| 10 | G Iii Apparel | 1.16 Bn | -351.32 Mn | 250.38 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Apr 30, 2025 | 461,000.00 |
| Jan 31, 2025 | 2.18 Mn |
| Oct 31, 2024 | 6.36 Mn |
| Jul 31, 2024 | 4.88 Mn |
| Apr 30, 2024 | 5.42 Mn |
| Jan 31, 2024 | 6.93 Mn |
| Oct 31, 2023 | 11.02 Mn |
| Jul 31, 2023 | 9.49 Mn |
| Apr 30, 2023 | 12.15 Mn |
| Jan 31, 2023 | 15.80 Mn |
| Oct 31, 2022 | 16.05 Mn |
| Jul 31, 2022 | 12.55 Mn |
| Apr 30, 2022 | 12.20 Mn |
| Jan 31, 2022 | 12.73 Mn |
| Oct 31, 2021 | 12.35 Mn |
| Jul 31, 2021 | 12.57 Mn |
| Apr 30, 2021 | 12.00 Mn |
| Jan 31, 2021 | 12.12 Mn |
| Oct 31, 2020 | 18.68 Mn |
| Jul 31, 2020 | 9.18 Mn |
G Iii Apparel Operating Interest Expenses 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=operating-interest-expenses&ticker=GIII&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-interest-expenses", "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=operating-interest-expenses&ticker=GIII&period=max&api_key=YOUR_API_KEY");
const data = await res.json();