Genworth Financial (GNW) Exchange Rate Effect (2010 - 2024)
Genworth Financial (GNW) recorded Exchange Rate Effect of -$1 million in Q4 2024.
Analysis
Genworth Financial (GNW) Exchange Rate Effect (2010 - 2024) Analysis & Trends
Starting with Q1 2010, Genworth Financial's Exchange Rate Effect history includes 30 quarters.
- Across earlier years, Exchange Rate Effect came in at $1 million in FY2023, $1 million in FY2021 (-93.3%) and $15 million in FY2020.
- The Q4 2024 figure is the highest quarterly Exchange Rate Effect since Q3 2023.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Chubb | 137.65 Bn | 84.23 Bn | 9.13 Bn | - |
| 2 | Progressive | 129.27 Bn | 105.11 Bn | 9.04 Bn | - |
| 3 | Marsh & Mclennan Companies | 90.79 Bn | 82.95 Bn | - | 40.00 Mn |
| 4 | Travelers Companies | 83.98 Bn | 60.23 Bn | 6.23 Bn | -2.00 Mn |
| 5 | Manulife Financial | 77.09 Bn | -17.80 Bn | - | 253.02 Mn |
| 6 | Arthur J. Gallagher | 66.40 Bn | 60.80 Bn | - | -57.00 Mn |
| 7 | Metlife | 65.77 Bn | -41.01 Bn | 7.82 Bn | 41.00 Mn |
| 8 | Allstate | 64.29 Bn | 25.56 Bn | 8.73 Bn | - |
| 9 | Aon | 62.89 Bn | 56.11 Bn | - | -50.00 Mn |
| 10 | Genworth Financial | 3.37 Bn | -4.81 Bn | 668.00 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2024 | -1.00 Mn |
| Sep 30, 2023 | 1.00 Mn |
| Dec 31, 2021 | 1.00 Mn |
| Sep 30, 2021 | -1.00 Mn |
| Jun 30, 2021 | 1.00 Mn |
| Dec 31, 2020 | 15.00 Mn |
| Sep 30, 2020 | 12.00 Mn |
| Jun 30, 2020 | 18.00 Mn |
| Mar 31, 2020 | -30.00 Mn |
| Dec 31, 2019 | 5.00 Mn |
| Sep 30, 2019 | -16.00 Mn |
| Jun 30, 2019 | 4.00 Mn |
| Mar 31, 2019 | 8.00 Mn |
| Dec 31, 2018 | -26.00 Mn |
| Sep 30, 2018 | -10.00 Mn |
| Jun 30, 2018 | -31.00 Mn |
| Mar 31, 2018 | -21.00 Mn |
| Dec 31, 2017 | -4.00 Mn |
| Sep 30, 2017 | 29.00 Mn |
| Jun 30, 2017 | 14.00 Mn |
API Access
Genworth Financial 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=GNW&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "ticker": "GNW", "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=GNW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();