News (NWSA) Exchange Rate Effect (2012 - 2026)
News' Exchange Rate Effect came in at $14 million for FY2026 (year ended Jun 30, 2026), down 44.0% from $25 million in FY2025.
Analysis
News (NWSA) Exchange Rate Effect (2012 - 2026) Analysis & Trends
Going back to FY2012, News' Exchange Rate Effect data covers 15 fiscal years.
- Exchange Rate Effect carries a five-year compound annual growth rate of -28.5% (FY2021 to FY2026).
- The five-year range for annual Exchange Rate Effect is -$96 million (FY2022) to $25 million (FY2025).
- Per Business Quant, earlier fiscal years put Exchange Rate Effect at $25 million in FY2025, -$6 million in FY2024, -$5 million in FY2023 and -$96 million in FY2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Warner Bros. Discovery | 77.50 Bn | 63.16 Bn | 4.10 Bn | -9.00 Mn |
| 2 | Fox | 27.18 Bn | 13.09 Bn | - | - |
| 3 | Omnicom | 20.60 Bn | 3.30 Bn | 1.30 Bn | -30.80 Mn |
| 4 | News | 16.19 Bn | 8.39 Bn | - | - |
| 5 | Paramount Skydance | 11.39 Bn | 9.31 Bn | - | - |
| 6 | New York Times | 10.30 Bn | 7.79 Bn | 394.61 Mn | -469,000.00 |
| 7 | Pearson | 10.14 Bn | 7.28 Bn | - | - |
| 8 | Sirius Xm Holdings | 8.74 Bn | 8.32 Bn | 1.44 Bn | - |
| 9 | 36Kr Holdings | 6.25 Bn | 6.19 Bn | - | - |
| 10 | Wpp | 5.52 Bn | -6.28 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 6.00 Mn |
| Dec 31, 2025 | 13.00 Mn |
| Sep 30, 2025 | -5.00 Mn |
| Jun 30, 2025 | 37.00 Mn |
| Mar 31, 2025 | 18.00 Mn |
| Dec 31, 2024 | -66.00 Mn |
| Sep 30, 2024 | 36.00 Mn |
| Jun 30, 2024 | 5.00 Mn |
| Mar 31, 2024 | -20.00 Mn |
| Dec 31, 2023 | 34.00 Mn |
| Sep 30, 2023 | -25.00 Mn |
| Jun 30, 2023 | 6.00 Mn |
| Mar 31, 2023 | -5.00 Mn |
| Dec 31, 2022 | 48.00 Mn |
| Sep 30, 2022 | -54.00 Mn |
| Jun 30, 2022 | -75.00 Mn |
| Mar 31, 2022 | 14.00 Mn |
| Dec 31, 2021 | -11.00 Mn |
| Sep 30, 2021 | -24.00 Mn |
| Jun 30, 2021 | 3.00 Mn |
API Access
News 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=NWSA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "ticker": "NWSA", "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=NWSA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();