Prudential (PUK) Exchange Rate Effect (2009 - 2025)
Prudential's (PUK) quarterly Exchange Rate Effect came in at $832.0 million in Q4 2025, up 258.17% year-over-year from $232.3 million in Q4 2024, and up 50.45% quarter-over-quarter from $553.0 million in Q2 2025.
Powered by 
Analysis
Prudential (PUK) Exchange Rate Effect (2009 - 2025) Analysis & Trends
Prudential has disclosed Exchange Rate Effect across 15 years of filings, most recently posting $832.0 million for Q4 2025.
- In Q4 2025, Exchange Rate Effect rose 258.17% year-over-year to $832.0 million; the TTM figure through Dec 2025 stood at $68.0 million (up 103.67% YoY), while the FY2025 annual figure was $140.0 million, up 329.51% from the prior year.
- Exchange Rate Effect came in at $832.0 million for Q4 2025 at Prudential, up from $553.0 million in the prior quarter.
- In the past five years, Exchange Rate Effect ranged from a high of $832.0 million in Q4 2025 to a low of -$791.0 million in Q3 2024.
- Average Exchange Rate Effect over 3 years is -$81.4 million, with a median of -$475.0 million recorded in 2023.
- Year-over-year, Exchange Rate Effect decreased 10.74% in 2024 and soared 258.17% in 2025.
- Over 3 years, Exchange Rate Effect stood at -$475.0 million in 2023, then retreated by 10.74% to -$526.0 million in 2024, then soared by 258.17% to $832.0 million in 2025.
- Per Business Quant data, the three most recent Exchange Rate Effect figures were $832.0 million in Q4 2025, $553.0 million in Q2 2025, and -$526.0 million in Q4 2024.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Exchange Rate Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Asml Holding | 647.47 Bn | 631.49 Bn | 5.90 Bn | - |
| 2 | General Electric | 325.83 Bn | 316.71 Bn | 6.95 Bn | -11.00 Mn |
| 3 | Astrazeneca | 257.75 Bn | 252.54 Bn | 12.86 Bn | 9.00 Mn |
| 4 | Citigroup | 221.04 Bn | -2,078.84 Bn | 24.75 Bn | - |
| 5 | Bhp | 219.16 Bn | 200.62 Bn | - | - |
| 6 | Diageo | 208.21 Bn | 208.26 Bn | - | - |
| 7 | Rio Tinto | 188.09 Bn | 183.71 Bn | - | - |
| 8 | Ferrari | 151.21 Bn | 149.46 Bn | 1.18 Bn | 1.80 Mn |
| 9 | Unilever | 134.81 Bn | 130.23 Bn | - | - |
| 10 | Prudential | 33.23 Bn | 27.24 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 832.00 Mn |
| Jun 30, 2025 | 553.00 Mn |
| Dec 31, 2024 | -526.00 Mn |
| Aug 28, 2024 | -791.00 Mn |
| Dec 31, 2023 | -475.00 Mn |
| Dec 31, 2020 | -59.00 Mn |
| Dec 31, 2019 | 10.00 Mn |
| Dec 31, 2018 | -529.00 Mn |
| Dec 31, 2017 | -144.72 Mn |
| Dec 31, 2016 | 859.07 Mn |
| Dec 31, 2015 | -362.68 Mn |
| Dec 31, 2014 | -169.53 Mn |
| Sep 19, 2014 | -179.54 Mn |
| Dec 31, 2013 | 260.67 Mn |
| Sep 16, 2013 | 247.33 Mn |
| Jun 30, 2013 | 247.26 Mn |
| Dec 31, 2012 | -162.19 Mn |
| Oct 22, 2012 | -85.49 Mn |
| Jun 30, 2012 | -85.51 Mn |
| Dec 31, 2011 | 95.87 Mn |
API Access
Prudential 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=PUK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "ticker": "PUK", "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=PUK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();