G Iii Apparel (GIII) Cash from Operations (2010 - 2026)
G Iii Apparel (GIII) recorded Cash from Operations of $180.7 million in fiscal Q2 2027 (quarter ended Jul 31, 2026), up 140.7% from $75.08 million a year earlier.
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Analysis
G Iii Apparel (GIII) Cash from Operations (2010 - 2026) Analysis & Trends
On a TTM basis, G Iii Apparel's Cash from Operations came in at $309 million as of Jul 31, 2026, down 20.9% year-over-year; for FY2026 (ended Jan 31, 2026), it was $299.14 million, down 5.5% from FY2025.
- Annual Cash from Operations has a five-year compound annual growth rate of 32.0% (FY2021 to FY2026).
- Across earlier fiscal years, Cash from Operations came in at $316.4 million in FY2025 (-46.2%), $587.58 million in FY2024, -$104.6 million in FY2023 and $185.8 million in FY2022 (+148.5%).
- Quarterly Cash from Operations has ranged from -$305.44 million in fiscal Q3 2023 to $361.31 million in fiscal Q4 2024 over the past five years.
- On a year-over-year basis, Cash from Operations rose in three of the last five quarters, with growth averaging 51.9%.
- Peak year-over-year performance for Cash from Operations in the last five years was growth of 363.4% in fiscal Q2 2025, against a decline of 77.5% in fiscal Q1 2025 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at -$1.97 million (Q1 2027), $227.59 million (Q4 2026) and -$97.32 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash from Ops. (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 52.47 Bn | 18.46 Bn | 5.39 Bn | 1.64 Bn |
| 2 | Tapestry | 23.05 Bn | 19.01 Bn | 1.56 Bn | 522.20 Mn |
| 3 | Ralph Lauren | 21.35 Bn | 13.45 Bn | 1.44 Bn | 339.30 Mn |
| 4 | Deckers Outdoor | 11.12 Bn | 3.99 Bn | - | - |
| 5 | Lululemon Athletica | 10.25 Bn | 4.50 Bn | 1.46 Bn | 374.84 Mn |
| 6 | Levi Strauss | 7.60 Bn | 4.25 Bn | 979.10 Mn | 270.80 Mn |
| 7 | Gildan Activewear | 6.52 Bn | 5.51 Bn | 459.76 Mn | 347.44 Mn |
| 8 | Birkenstock Holding | 5.97 Bn | 4.27 Bn | 493.89 Mn | 286.47 Mn |
| 9 | Crocs | 5.64 Bn | 5.06 Bn | 700.71 Mn | 351.70 Mn |
| 10 | G Iii Apparel | 1.16 Bn | -351.32 Mn | 250.38 Mn | 180.70 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 180.70 Mn |
| Apr 30, 2026 | -1.97 Mn |
| Jan 31, 2026 | 227.59 Mn |
| Oct 31, 2025 | -97.32 Mn |
| Jul 31, 2025 | 75.08 Mn |
| Apr 30, 2025 | 93.80 Mn |
| Jan 31, 2025 | 333.42 Mn |
| Oct 31, 2024 | -111.85 Mn |
| Jul 31, 2024 | 49.34 Mn |
| Apr 30, 2024 | 45.49 Mn |
| Jan 31, 2024 | 361.31 Mn |
| Oct 31, 2023 | 13.79 Mn |
| Jul 31, 2023 | 10.65 Mn |
| Apr 30, 2023 | 201.83 Mn |
| Jan 31, 2023 | 310.73 Mn |
| Oct 31, 2022 | -305.44 Mn |
| Jul 31, 2022 | -121.07 Mn |
| Apr 30, 2022 | 11.17 Mn |
| Jan 31, 2022 | 201.19 Mn |
| Oct 31, 2021 | -209.21 Mn |
API Access
G Iii Apparel Cash from 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=cash-from-operations&ticker=GIII&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-from-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=cash-from-operations&ticker=GIII&period=max&api_key=YOUR_API_KEY");
const data = await res.json();