Sony (SONY) Exchange Rate Effect (2009 - 2026)
Sony's Exchange Rate Effect was $650.39 million in the quarter ended Jun 30, 2026, compared with -$316.9 million a year earlier and up 185.7% from the prior quarter.
Sony (SONY) Exchange Rate Effect (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Sony's Exchange Rate Effect was $5.1 billion through Jun 30, 2026; for the year ended Mar 31, 2026, it was $635.15 million.
- Exchange Rate Effect shows a five-year compound annual growth rate of 12.9% (years ended Mar 2021 to Mar 2026).
- In earlier years, Exchange Rate Effect was -$127.81 million in the year ended Mar 31, 2025, $572.72 million in the year ended Mar 31, 2024 (-8.9%), $628.72 million in the year ended Mar 31, 2023 (-25.2%) and $840.54 million in the year ended Mar 31, 2022 (+142.9%).
- Quarterly Exchange Rate Effect has moved between -$2.98 billion (the quarter ended Sep 30, 2024) and $3.78 billion (the quarter ended Sep 30, 2025) over five years.
- The best year-over-year quarter for Exchange Rate Effect over five years was the quarter ended Mar 31, 2024 (growth of 669.5%); the worst was the quarter ended Mar 31, 2023 (a decline of 90.9%).
- Per Business Quant data, SONY's Exchange Rate Effect in the three quarters before the quarter ended Jun 30, 2026 was $227.62 million (quarter ended Mar 31, 2026), $436.51 million (quarter ended Dec 31, 2025) and $3.78 billion (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 5,040.97 Bn | 4,788.46 Bn | 54.77 Bn | - |
| 2 | Cisco Systems | 424.45 Bn | 360.38 Bn | 11.06 Bn | 28.00 Mn |
| 3 | Dell Technologies | 313.76 Bn | 269.51 Bn | 9.83 Bn | -22.00 Mn |
| 4 | Arista Networks | 232.68 Bn | 186.14 Bn | 1.91 Bn | -1.00 Mn |
| 5 | Sandisk | 202.67 Bn | 191.19 Bn | 7.58 Bn | - |
| 6 | Seagate Technology Holdings | 152.82 Bn | 147.82 Bn | 1.90 Bn | - |
| 7 | Sony | 149.85 Bn | 87.11 Bn | 6.53 Bn | 650.39 Mn |
| 8 | Western Digital | 130.59 Bn | 118.72 Bn | 2.03 Bn | - |
| 9 | Hewlett Packard Enterprise | 77.78 Bn | 55.65 Bn | 4.93 Bn | -30.00 Mn |
| 10 | Lumentum Holdings | 63.61 Bn | 55.43 Bn | 477.30 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 650.39 Mn |
| Mar 31, 2026 | 227.62 Mn |
| Dec 31, 2025 | 1.65 Bn |
| Sep 30, 2025 | 3.78 Bn |
| Jun 30, 2025 | -316.90 Mn |
| Mar 31, 2025 | -446.08 Mn |
| Dec 31, 2024 | 1.95 Bn |
| Sep 30, 2024 | -2.98 Bn |
| Jun 30, 2024 | 1.54 Bn |
| Mar 31, 2024 | 395.29 Mn |
| Dec 31, 2023 | -269.37 Mn |
| Sep 30, 2023 | 105.13 Mn |
| Jun 30, 2023 | 354.98 Mn |
| Mar 31, 2023 | 51.37 Mn |
| Dec 31, 2022 | -343.62 Mn |
| Sep 30, 2022 | 212.90 Mn |
| Jun 30, 2022 | 752.23 Mn |
| Mar 31, 2022 | 563.23 Mn |
| Dec 31, 2021 | 214.60 Mn |
| Sep 30, 2021 | 57.58 Mn |
Sony 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=SONY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "ticker": "SONY", "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=SONY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();