G Iii Apparel (GIII) Income from Continuing Operations (2010 - 2026)
G Iii Apparel (GIII) reported Income from Continuing Operations of $20.21 million for fiscal Q2 2027 (quarter ended Jul 31, 2026), up 84.8% from $10.94 million a year earlier but down 69.6% from the prior quarter.
G Iii Apparel (GIII) Income from Continuing Operations (2010 - 2026) Analysis & Trends
Over the twelve months ended Jul 31, 2026, G Iii Apparel's Income from Continuing Operations came in at $135.4 million, down 25.7% year-over-year; for FY2026 (ended Jan 31, 2026), it was $67.35 million, down 65.2% from FY2025.
- Income from Continuing Operations has a five-year compound annual growth rate of 23.4% (FY2021 to FY2026).
- By fiscal year, Income from Continuing Operations came in at $193.29 million in FY2025 (+10.6%), $174.74 million in FY2024, -$134.38 million in FY2023 and $200.1 million in FY2022 (+750.7%).
- Five-year quarterly Income from Continuing Operations spans a low of -$261.92 million in fiscal Q4 2023 and a high of $127.38 million in fiscal Q3 2024.
- Year over year, Income from Continuing Operations gained in four of the last seven quarters, with growth averaging 123.1%.
- The high point for year-over-year Income from Continuing Operations in five years was fiscal Q1 2027 (growth of 757.5%); the low point was fiscal Q1 2024 (a decline of 89.7%).
- Per Business Quant data, the three fiscal quarters before Q2 2027 came in at $66.53 million (Q1 2027), -$31.94 million (Q4 2026) and $80.59 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Income (Continuing) (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 52.47 Bn | 18.46 Bn | 5.39 Bn | 1.07 Bn |
| 2 | Tapestry | 23.05 Bn | 19.01 Bn | 1.56 Bn | 347.80 Mn |
| 3 | Ralph Lauren | 21.35 Bn | 13.45 Bn | 1.44 Bn | 262.20 Mn |
| 4 | Deckers Outdoor | 11.12 Bn | 3.99 Bn | - | - |
| 5 | Lululemon Athletica | 10.25 Bn | 4.50 Bn | 1.46 Bn | 329.22 Mn |
| 6 | Levi Strauss | 7.60 Bn | 4.25 Bn | 979.10 Mn | 94.80 Mn |
| 7 | Gildan Activewear | 6.52 Bn | 5.51 Bn | 459.76 Mn | 90.40 Mn |
| 8 | Birkenstock Holding | 5.97 Bn | 4.27 Bn | 493.89 Mn | 244.68 Mn |
| 9 | Crocs | 5.64 Bn | 5.06 Bn | 700.71 Mn | 204.89 Mn |
| 10 | G Iii Apparel | 1.16 Bn | -351.32 Mn | 250.38 Mn | 20.21 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 20.21 Mn |
| Apr 30, 2026 | 66.53 Mn |
| Jan 31, 2026 | -31.94 Mn |
| Oct 31, 2025 | 80.59 Mn |
| Jul 31, 2025 | 10.94 Mn |
| Apr 30, 2025 | 7.76 Mn |
| Jan 31, 2025 | 48.78 Mn |
| Oct 31, 2024 | 114.77 Mn |
| Jul 31, 2024 | 24.19 Mn |
| Apr 30, 2024 | 5.55 Mn |
| Jan 31, 2024 | 27.98 Mn |
| Oct 31, 2023 | 127.38 Mn |
| Jul 31, 2023 | 16.24 Mn |
| Apr 30, 2023 | 3.14 Mn |
| Jan 31, 2023 | -261.92 Mn |
| Oct 31, 2022 | 60.85 Mn |
| Jul 31, 2022 | 36.07 Mn |
| Apr 30, 2022 | 30.63 Mn |
| Jan 31, 2022 | 48.14 Mn |
| Oct 31, 2021 | 106.47 Mn |
G Iii Apparel Income from Continuing Operations 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=income-from-continuing-operations&ticker=GIII&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "income-from-continuing-operations", "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=income-from-continuing-operations&ticker=GIII&period=max&api_key=YOUR_API_KEY");
const data = await res.json();