G Iii Apparel (GIII) Operating Income (2010 - 2026)
G Iii Apparel (GIII) posted Operating Income of $10.83 million for fiscal Q2 2027 (quarter ended Jul 31, 2026), down 33.5% from $16.3 million a year earlier and down 87.3% from the prior quarter.
G Iii Apparel (GIII) Operating Income (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jul 31, 2026, Operating Income at G Iii Apparel was $179.28 million, down 31.8% year-over-year; for FY2026 (ended Jan 31, 2026), it came in at $107.99 million, down 63.2% from FY2025.
- Annual Operating Income shows a five-year compound annual growth rate of 5.4% (FY2021 to FY2026).
- In prior fiscal years, G Iii Apparel's Operating Income was $293.08 million in FY2025 (+3.4%), $283.34 million in FY2024, -$109.46 million in FY2023 and $311.09 million in FY2022 (+275.5%).
- Quarterly Operating Income has run from a low of -$292.47 million in fiscal Q4 2023 to a high of $190.29 million in fiscal Q3 2024 over five years.
- On a year-over-year basis, Operating Income increased in two of the last seven quarters, with growth averaging 112.0%.
- The strongest year-over-year quarter for Operating Income in the past five years was fiscal Q1 2027, with growth of 905.6%; the weakest was fiscal Q1 2024, with a decline of 72.0%.
- According to Business Quant data, Operating Income for the three prior fiscal quarters was $85.24 million (Q1 2027), -$29.09 million (Q4 2026) and $112.3 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Op. Inc (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 53.14 Bn | 19.13 Bn | 5.39 Bn | 1.31 Bn |
| 2 | Tapestry | 22.87 Bn | 18.83 Bn | 1.56 Bn | 442.30 Mn |
| 3 | Ralph Lauren | 21.39 Bn | 13.49 Bn | 1.44 Bn | 342.40 Mn |
| 4 | Deckers Outdoor | 11.06 Bn | 3.93 Bn | - | - |
| 5 | Lululemon Athletica | 10.32 Bn | 4.58 Bn | 1.46 Bn | 453.65 Mn |
| 6 | Levi Strauss | 7.62 Bn | 4.28 Bn | 979.10 Mn | 122.20 Mn |
| 7 | Gildan Activewear | 6.55 Bn | 5.54 Bn | 459.76 Mn | 175.90 Mn |
| 8 | Birkenstock Holding | 6.07 Bn | 4.38 Bn | 493.89 Mn | 236.02 Mn |
| 9 | Crocs | 5.90 Bn | 5.31 Bn | 700.71 Mn | 285.68 Mn |
| 10 | G Iii Apparel | 1.17 Bn | -345.75 Mn | 250.38 Mn | 10.83 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 10.83 Mn |
| Apr 30, 2026 | 85.24 Mn |
| Jan 31, 2026 | -29.09 Mn |
| Oct 31, 2025 | 112.30 Mn |
| Jul 31, 2025 | 16.30 Mn |
| Apr 30, 2025 | 8.48 Mn |
| Jan 31, 2025 | 71.77 Mn |
| Oct 31, 2024 | 166.34 Mn |
| Jul 31, 2024 | 41.46 Mn |
| Apr 30, 2024 | 13.50 Mn |
| Jan 31, 2024 | 46.31 Mn |
| Oct 31, 2023 | 190.29 Mn |
| Jul 31, 2023 | 31.49 Mn |
| Apr 30, 2023 | 15.26 Mn |
| Jan 31, 2023 | -292.47 Mn |
| Oct 31, 2022 | 97.21 Mn |
| Jul 31, 2022 | 31.26 Mn |
| Apr 30, 2022 | 54.54 Mn |
| Jan 31, 2022 | 67.21 Mn |
| Oct 31, 2021 | 158.13 Mn |
G Iii Apparel Operating Income 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-income&ticker=GIII&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-income", "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-income&ticker=GIII&period=max&api_key=YOUR_API_KEY");
const data = await res.json();