G Iii Apparel (GIII) Free Cash Flow (2010 - 2026)
G Iii Apparel (GIII) reported Free Cash Flow of $171.58 million for fiscal Q2 2027 (quarter ended Jul 31, 2026), up 165.1% from $64.74 million a year earlier.
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Analysis
G Iii Apparel (GIII) Free Cash Flow (2010 - 2026) Analysis & Trends
Over the twelve months ended Jul 31, 2026, G Iii Apparel's Free Cash Flow came in at $274.62 million, down 22.4% year-over-year; for FY2026 (ended Jan 31, 2026), it was $263.92 million, down 4.0% from FY2025.
- Free Cash Flow has a five-year compound annual growth rate of 35.1% (FY2021 to FY2026).
- By fiscal year, Free Cash Flow came in at $274.88 million in FY2025 (-51.2%), $562.9 million in FY2024, -$126.13 million in FY2023 and $167.54 million in FY2022 (+185.3%).
- Five-year quarterly Free Cash Flow spans a low of -$311.71 million in fiscal Q3 2023 and a high of $352.29 million in fiscal Q4 2024.
- Year over year, Free Cash Flow gained in three of the last five quarters, with growth averaging 70.7%.
- The high point for year-over-year Free Cash Flow in five years was fiscal Q2 2025 (growth of 760.2%); the low point was fiscal Q1 2023 (a decline of 84.6%).
- Per Business Quant data, the three fiscal quarters before Q2 2027 came in at -$10.43 million (Q1 2027), $219.91 million (Q4 2026) and -$106.45 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FCF (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 52.47 Bn | 18.46 Bn | 5.39 Bn | 1.50 Bn |
| 2 | Tapestry | 23.05 Bn | 19.01 Bn | 1.56 Bn | 469.00 Mn |
| 3 | Ralph Lauren | 21.35 Bn | 13.45 Bn | 1.44 Bn | 285.90 Mn |
| 4 | Deckers Outdoor | 11.12 Bn | 3.99 Bn | - | - |
| 5 | Lululemon Athletica | 10.25 Bn | 4.50 Bn | 1.46 Bn | 225.16 Mn |
| 6 | Levi Strauss | 7.60 Bn | 4.25 Bn | 979.10 Mn | 230.90 Mn |
| 7 | Gildan Activewear | 6.52 Bn | 5.51 Bn | 459.76 Mn | 367.29 Mn |
| 8 | Birkenstock Holding | 5.97 Bn | 4.27 Bn | 493.89 Mn | 316.96 Mn |
| 9 | Crocs | 5.64 Bn | 5.06 Bn | 700.71 Mn | 330.97 Mn |
| 10 | G Iii Apparel | 1.16 Bn | -351.32 Mn | 250.38 Mn | 171.58 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 171.58 Mn |
| Apr 30, 2026 | -10.43 Mn |
| Jan 31, 2026 | 219.91 Mn |
| Oct 31, 2025 | -106.45 Mn |
| Jul 31, 2025 | 64.74 Mn |
| Apr 30, 2025 | 85.72 Mn |
| Jan 31, 2025 | 323.66 Mn |
| Oct 31, 2024 | -120.33 Mn |
| Jul 31, 2024 | 38.79 Mn |
| Apr 30, 2024 | 32.77 Mn |
| Jan 31, 2024 | 352.29 Mn |
| Oct 31, 2023 | 9.26 Mn |
| Jul 31, 2023 | 4.51 Mn |
| Apr 30, 2023 | 196.85 Mn |
| Jan 31, 2023 | 304.01 Mn |
| Oct 31, 2022 | -311.71 Mn |
| Jul 31, 2022 | -125.26 Mn |
| Apr 30, 2022 | 6.84 Mn |
| Jan 31, 2022 | 195.93 Mn |
| Oct 31, 2021 | -214.69 Mn |
API Access
G Iii Apparel Free Cash Flow 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=free-cash-flow&ticker=GIII&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "free-cash-flow", "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=free-cash-flow&ticker=GIII&period=max&api_key=YOUR_API_KEY");
const data = await res.json();