Pearson (PSO) Exchange Rate Effect (2009 - 2025)
Pearson (PSO) posted Exchange Rate Effect of -$46.6 million for Q4 2025, down 418.18% on a QoQ basis from -$9.0 million in Q4 2024, and down 418.18% year-over-year from $14.6 million in Q4 2024.
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Analysis
Pearson (PSO) Exchange Rate Effect (2009 - 2025) Analysis & Trends
Pearson has reported Exchange Rate Effect for 17 years, with the latest figure at -$46.6 million in Q4 2025.
- On a quarterly basis, Exchange Rate Effect fell 418.18% year-over-year to -$46.6 million in Q4 2025; TTM through Dec 2025 was -$9.5 million, a 126.64% decrease from a year earlier, with the FY2025 full-year figure at -$18.6 million, up 30.91% from the prior year.
- Exchange Rate Effect was -$46.6 million for Q4 2025 at Pearson, down from -$9.0 million in the prior quarter.
- The five-year high for Exchange Rate Effect was $62.2 million in Q4 2022, with the low at -$46.6 million in Q4 2025.
- Average Exchange Rate Effect over 5 years is -$2.2 million, with a median of -$9.0 million recorded in 2024.
- The sharpest annual moves came in 2022 and 2025: Exchange Rate Effect soared 4711.63% in 2022, then slumped 418.18% in 2025.
- Over 5 years, Exchange Rate Effect stood at -$1.3 million in 2021, then jumped by 4711.63% to $62.2 million in 2022, then plunged by 125.95% to -$16.1 million in 2023, then surged by 44.32% to -$9.0 million in 2024, then sank by 418.18% to -$46.6 million in 2025.
- The last three Exchange Rate Effect figures came in at -$46.6 million (Q4 2025), -$9.0 million (Q4 2024), and -$16.1 million (Q4 2023), per Business Quant data.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Warner Bros. Discovery | 77.15 Bn | 74.93 Bn | 4.10 Bn | -9.00 Mn |
| 2 | Fox | 24.55 Bn | 20.44 Bn | - | - |
| 3 | Omnicom | 20.71 Bn | 17.98 Bn | 1.30 Bn | -30.80 Mn |
| 4 | News | 17.37 Bn | 15.99 Bn | - | - |
| 5 | Paramount Skydance | 11.04 Bn | 8.96 Bn | -2.08 Bn | -82.00 Mn |
| 6 | Pearson | 10.10 Bn | 9.51 Bn | 1.17 Bn | -46.56 Mn |
| 7 | New York Times | 9.93 Bn | 9.27 Bn | 394.61 Mn | -469,000.00 |
| 8 | Sirius Xm Holdings | 8.86 Bn | 8.68 Bn | 1.44 Bn | - |
| 9 | 36Kr Holdings | 6.17 Bn | 6.15 Bn | - | - |
| 10 | Wpp | 5.43 Bn | 2.51 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | -46.56 Mn |
| Dec 31, 2024 | -8.98 Mn |
| Dec 31, 2023 | -16.13 Mn |
| Dec 31, 2022 | 62.17 Mn |
| Dec 31, 2021 | -1.35 Mn |
| Dec 31, 2020 | 15.85 Mn |
| Dec 31, 2019 | -2.57 Mn |
| Dec 31, 2018 | -3.86 Mn |
| Dec 31, 2017 | -17.26 Mn |
| Dec 31, 2016 | 85.78 Mn |
| Dec 31, 2015 | -48.56 Mn |
| Dec 31, 2014 | -9.51 Mn |
| Dec 31, 2013 | 87.43 Mn |
| Dec 31, 2012 | -118.83 Mn |
| Dec 31, 2011 | -37.72 Mn |
| Dec 31, 2010 | -4.70 Mn |
| Dec 31, 2009 | -78.41 Mn |
API Access
Pearson 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=PSO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "ticker": "PSO", "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=PSO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();