G Iii Apparel (GIII) Retained Earnings (2010 - 2026)
G Iii Apparel (GIII) recorded Retained Earnings of $1.5 billion in fiscal Q2 2027 (quarter ended Jul 31, 2026), up 8.9% from $1.37 billion a year earlier and up 1.1% from the prior quarter.
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Analysis
G Iii Apparel (GIII) Retained Earnings (2010 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), G Iii Apparel reported Retained Earnings of $1.42 billion, up 4.7% from FY2025.
- Annual Retained Earnings has increased for three straight fiscal years, with a five-year compound annual growth rate of 9.1% (FY2021 to FY2026).
- Across earlier fiscal years, Retained Earnings came in at $1.35 billion in FY2025 (+16.7%), $1.16 billion in FY2024 (+17.9%), $983.94 million in FY2023 (-11.9%) and $1.12 billion in FY2022 (+21.9%).
- The fiscal Q2 2027 figure is the highest quarterly Retained Earnings in data going back to fiscal Q2 2011.
- On a year-over-year basis, Retained Earnings has increased for 11 consecutive quarters, with growth averaging 12.2% over the last eight quarters.
- Peak year-over-year performance for Retained Earnings in the last five years was growth of 23.1% in fiscal Q2 2023, against a decline of 15.2% in fiscal Q2 2024 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $1.48 billion (Q1 2027), $1.42 billion (Q4 2026) and $1.45 billion (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Retained Earnings (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 52.47 Bn | 18.46 Bn | 5.39 Bn | -155.00 Mn |
| 2 | Tapestry | 23.05 Bn | 19.01 Bn | 1.56 Bn | -3.21 Bn |
| 3 | Ralph Lauren | 21.35 Bn | 13.45 Bn | 1.44 Bn | 8.51 Bn |
| 4 | Deckers Outdoor | 11.12 Bn | 3.99 Bn | - | 2.25 Bn |
| 5 | Lululemon Athletica | 10.25 Bn | 4.50 Bn | 1.46 Bn | 4.36 Bn |
| 6 | Levi Strauss | 7.60 Bn | 4.25 Bn | 979.10 Mn | 1.90 Bn |
| 7 | Gildan Activewear | 6.52 Bn | 5.51 Bn | 459.76 Mn | 902.37 Mn |
| 8 | Birkenstock Holding | 5.97 Bn | 4.27 Bn | 493.89 Mn | 1.17 Bn |
| 9 | Crocs | 5.64 Bn | 5.06 Bn | 700.71 Mn | 3.82 Bn |
| 10 | G Iii Apparel | 1.16 Bn | -351.32 Mn | 250.38 Mn | 1.50 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 1.50 Bn |
| Apr 30, 2026 | 1.48 Bn |
| Jan 31, 2026 | 1.42 Bn |
| Oct 31, 2025 | 1.45 Bn |
| Jul 31, 2025 | 1.37 Bn |
| Apr 30, 2025 | 1.36 Bn |
| Jan 31, 2025 | 1.35 Bn |
| Oct 31, 2024 | 1.30 Bn |
| Jul 31, 2024 | 1.19 Bn |
| Apr 30, 2024 | 1.17 Bn |
| Jan 31, 2024 | 1.16 Bn |
| Oct 31, 2023 | 1.13 Bn |
| Jul 31, 2023 | 1.00 Bn |
| Apr 30, 2023 | 987.18 Mn |
| Jan 31, 2023 | 983.94 Mn |
| Oct 31, 2022 | 1.25 Bn |
| Jul 31, 2022 | 1.18 Bn |
| Apr 30, 2022 | 1.15 Bn |
| Jan 31, 2022 | 1.12 Bn |
| Oct 31, 2021 | 1.07 Bn |
API Access
G Iii Apparel Retained Earnings 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=retained-earnings&ticker=GIII&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "retained-earnings", "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=retained-earnings&ticker=GIII&period=max&api_key=YOUR_API_KEY");
const data = await res.json();