Aifu (AIFU) Exchange Rate Effect (2010 - 2023)
Aifu (AIFU) recorded Exchange Rate Effect of $539,000 in FY2025, up 111.4% from $255,000 in FY2024.
Powered by 
Analysis
Aifu (AIFU) Exchange Rate Effect (2010 - 2023) Analysis & Trends
Starting with FY2009, Aifu's Exchange Rate Effect history includes 17 years.
- The FY2025 figure is the highest annual Exchange Rate Effect since FY2019.
- Per Business Quant data, AIFU's Exchange Rate Effect was $255,000 in FY2024, $19,000 in FY2023 (-93.0%), $271,000 in FY2022 and -$1.55 million in FY2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,082.55 Bn | -334.93 Bn | 55.86 Bn | -46.00 Mn |
| 2 | Chubb | 128.03 Bn | 80.09 Bn | 9.13 Bn | - |
| 3 | Progressive | 122.38 Bn | 98.22 Bn | 9.04 Bn | - |
| 4 | Marsh & Mclennan Companies | 81.46 Bn | 73.20 Bn | - | -14.00 Mn |
| 5 | Travelers Companies | 75.77 Bn | 52.02 Bn | 6.23 Bn | -2.00 Mn |
| 6 | Manulife Financial | 73.91 Bn | 75.11 Bn | - | 253.02 Mn |
| 7 | Metlife | 60.71 Bn | -45.77 Bn | 7.82 Bn | 41.00 Mn |
| 8 | Aon | 58.53 Bn | 51.77 Bn | - | -50.00 Mn |
| 9 | Arthur J. Gallagher | 58.38 Bn | 52.82 Bn | - | -57.00 Mn |
| 10 | Aifu | 57.73 Mn | -246.98 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2023 | -877,000.00 |
| Sep 30, 2023 | -41,000.00 |
| Jun 30, 2023 | 1.29 Mn |
| Mar 31, 2023 | -395,000.00 |
| Dec 31, 2022 | 55,000.00 |
| Sep 30, 2022 | 245,000.00 |
| Jun 30, 2022 | -76,000.00 |
| Mar 31, 2022 | 40,000.00 |
| Dec 31, 2021 | -190,000.00 |
| Sep 30, 2021 | -53,000.00 |
| Jun 30, 2021 | -277,000.00 |
| Mar 31, 2021 | -997,000.00 |
| Dec 31, 2020 | -1.79 Mn |
| Sep 30, 2020 | -104,000.00 |
| Jun 30, 2020 | -34,000.00 |
| Mar 31, 2020 | 1.17 Mn |
| Dec 31, 2019 | -459,000.00 |
| Sep 30, 2019 | 1.88 Mn |
| Jun 30, 2019 | 1.97 Mn |
| Mar 31, 2019 | -674,000.00 |
API Access
Aifu 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=AIFU&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "ticker": "AIFU", "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=AIFU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();