G Iii Apparel (GIII) Exchange Rate Effect (2010 - 2026)
G Iii Apparel (GIII) reported Exchange Rate Effect of -$495,000 for fiscal Q2 2027 (quarter ended Jul 31, 2026), compared with $7.88 million a year earlier.
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Analysis
G Iii Apparel (GIII) Exchange Rate Effect (2010 - 2026) Analysis & Trends
Over the twelve months ended Jul 31, 2026, G Iii Apparel's Exchange Rate Effect came in at $2.22 million, down 66.2% year-over-year; for FY2026 (ended Jan 31, 2026), it came in at $16.37 million.
- Exchange Rate Effect has a five-year compound annual growth rate of 26.0% (FY2021 to FY2026).
- By fiscal year, Exchange Rate Effect came in at -$9.13 million in FY2025, $1.56 million in FY2024, -$3.41 million in FY2023 and $3.2 million in FY2022 (-38.0%).
- Five-year quarterly Exchange Rate Effect spans a low of -$8.15 million in fiscal Q4 2025 and a high of $7.88 million in fiscal Q2 2026.
- Per Business Quant data, the three fiscal quarters before Q2 2027 came in at -$1.77 million (Q1 2027), $5.74 million (Q4 2026) and -$1.25 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 56.18 Bn | 22.38 Bn | 4.80 Bn | 15.00 Mn |
| 2 | Tapestry | 23.99 Bn | 19.95 Bn | 1.56 Bn | -10.50 Mn |
| 3 | Ralph Lauren | 22.76 Bn | 14.85 Bn | 1.44 Bn | -16.50 Mn |
| 4 | Deckers Outdoor | 12.61 Bn | 5.48 Bn | - | - |
| 5 | Lululemon Athletica | 11.29 Bn | 5.54 Bn | 1.46 Bn | -23.18 Mn |
| 6 | Levi Strauss | 8.02 Bn | 4.60 Bn | 1.07 Bn | -3.00 Mn |
| 7 | V F | 6.86 Bn | 3.48 Bn | 917.04 Mn | -4.05 Mn |
| 8 | Gildan Activewear | 6.55 Bn | 5.47 Bn | 459.76 Mn | -7.69 Mn |
| 9 | Birkenstock Holding | 6.11 Bn | 4.43 Bn | 493.89 Mn | 833,413.45 |
| 10 | G Iii Apparel | 1.21 Bn | -303.22 Mn | 250.38 Mn | -495,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | -495,000.00 |
| Apr 30, 2026 | -1.77 Mn |
| Jan 31, 2026 | 5.74 Mn |
| Oct 31, 2025 | -1.25 Mn |
| Jul 31, 2025 | 7.88 Mn |
| Apr 30, 2025 | 4.01 Mn |
| Jan 31, 2025 | -8.15 Mn |
| Oct 31, 2024 | 2.82 Mn |
| Jul 31, 2024 | -1.03 Mn |
| Apr 30, 2024 | -2.77 Mn |
| Jan 31, 2024 | 3.70 Mn |
| Oct 31, 2023 | -4.84 Mn |
| Jul 31, 2023 | 2.07 Mn |
| Apr 30, 2023 | 628,000.00 |
| Jan 31, 2023 | 7.58 Mn |
| Oct 31, 2022 | -7.59 Mn |
| Jul 31, 2022 | -2.73 Mn |
| Apr 30, 2022 | -666,000.00 |
| Jan 31, 2022 | 4.40 Mn |
| Oct 31, 2021 | -584,000.00 |
API Access
G Iii Apparel Exchange Rate Effect 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=exchange-rate-effect&ticker=GIII&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "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=exchange-rate-effect&ticker=GIII&period=max&api_key=YOUR_API_KEY");
const data = await res.json();