Wyndham Hotels & Resorts (WH) Exchange Rate Effect (2017 - 2025)
Wyndham Hotels & Resorts' Exchange Rate Effect came in at $1 million for Q4 2025, compared with -$3 million a year earlier.
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Analysis
Wyndham Hotels & Resorts (WH) Exchange Rate Effect (2017 - 2025) Analysis & Trends
Going back to Q2 2017, Wyndham Hotels & Resorts' Exchange Rate Effect data covers 21 quarters.
- Going back by year, Exchange Rate Effect was -$3 million in FY2024, -$3 million in FY2023, -$4 million in FY2022 and -$1 million in FY2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Marriott International | 93.50 Bn | 91.55 Bn | 1.55 Bn | - |
| 2 | Hilton Worldwide Holdings | 72.30 Bn | 68.78 Bn | 3.08 Bn | 2.00 Mn |
| 3 | Royal Caribbean Cruises | 64.91 Bn | 62.49 Bn | 2.29 Bn | - |
| 4 | Viking Holdings | 35.75 Bn | 20.87 Bn | 996.62 Mn | 1.95 Mn |
| 5 | Carnival | 30.35 Bn | 23.01 Bn | - | -3.00 Mn |
| 6 | Intercontinental Hotels | 26.52 Bn | 22.08 Bn | - | - |
| 7 | Trip.com | 25.92 Bn | -19.63 Bn | 1.84 Bn | - |
| 8 | Hyatt Hotels | 15.20 Bn | 12.68 Bn | 388.00 Mn | -1.00 Mn |
| 9 | H World | 13.30 Bn | 4.22 Bn | - | -19.00 Mn |
| 10 | Wyndham Hotels & Resorts | 5.26 Bn | 4.98 Bn | 244.00 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 1.00 Mn |
| Sep 30, 2025 | -1.00 Mn |
| Jun 30, 2025 | 1.00 Mn |
| Dec 31, 2024 | -3.00 Mn |
| Sep 30, 2024 | 1.00 Mn |
| Mar 31, 2024 | -1.00 Mn |
| Dec 31, 2023 | -1.00 Mn |
| Sep 30, 2023 | -1.00 Mn |
| Jun 30, 2023 | -1.00 Mn |
| Sep 30, 2022 | -3.00 Mn |
| Dec 31, 2021 | -1.00 Mn |
| Dec 31, 2020 | 1.00 Mn |
| Jun 30, 2020 | 1.00 Mn |
| Mar 31, 2020 | -2.00 Mn |
| Dec 31, 2019 | 1.00 Mn |
| Sep 30, 2019 | -1.00 Mn |
| Jun 30, 2019 | 1.00 Mn |
| Dec 31, 2018 | -4.00 Mn |
| Jun 30, 2018 | 1.00 Mn |
| Mar 31, 2018 | -1.00 Mn |
API Access
Wyndham Hotels & Resorts 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=WH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "ticker": "WH", "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=WH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();