Viasat (VSAT) Exchange Rate Effect (2009 - 2026)
Viasat's (VSAT) quarterly Exchange Rate Effect came in at -$2.4 million in Q2 2026, up 27.24% year-over-year from -$1.9 million in Q2 2025, and down 441.48% quarter-over-quarter from $704000.0 in Q1 2026.
Viasat (VSAT) Exchange Rate Effect (2009 - 2026) Analysis & Trends
Viasat (VSAT) has reported Exchange Rate Effect for 18 consecutive years, with -$2.4 million the latest figure, recorded in Q2 2026.
- On a quarterly basis, Exchange Rate Effect rose 27.24% year-over-year to -$2.4 million in Q2 2026; TTM through Jun 2026 was -$788000.0, a 72.97% increase from a year earlier, with the FY2026 full-year figure at -$1.7 million, down 144.06% from the prior year.
- Exchange Rate Effect was -$2.4 million for Q2 2026 at Viasat, down from $704000.0 in the prior quarter.
- Over five years, Exchange Rate Effect peaked at $4.7 million in Q4 2024 and troughed at -$3.3 million in Q2 2025.
- A 5-year average of -$117111.1 and a median of -$1.1 million in 2022 frame the typical range for Exchange Rate Effect.
- The widest YoY moves for Exchange Rate Effect: up 457.86% in 2024, down 451.26% in 2024.
- Over 5 years, Exchange Rate Effect stood at $1.8 million in 2022, then grew by 15.54% to $2.1 million in 2023, then soared by 121.5% to $4.7 million in 2024, then sank by 164.81% to -$3.1 million in 2025, then climbed by 21.23% to -$2.4 million in 2026.
- The last three Exchange Rate Effect figures came in at -$2.4 million (Q2 2026), $704000.0 (Q1 2026), and -$3.1 million (Q4 2025), per Business Quant data.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Verizon Communications | 195.65 Bn | 160.05 Bn | 27.03 Bn | - |
| 2 | T-Mobile US | 177.81 Bn | 162.55 Bn | 14.76 Bn | - |
| 3 | At&T | 174.05 Bn | 122.00 Bn | 25.82 Bn | - |
| 4 | Grupo Televisa, S.A.B | 146.85 Bn | 135.48 Bn | 318.12 Mn | - |
| 5 | Comcast | 77.49 Bn | 41.74 Bn | - | 2.00 Mn |
| 6 | Chunghwa Telecom | 35.79 Bn | 31.63 Bn | 728.80 Mn | - |
| 7 | EchoStar | 26.14 Bn | 17.28 Bn | 1.65 Bn | 259,000.00 |
| 8 | AST SpaceMobile | 24.05 Bn | 24.55 Bn | 7.95 Mn | -1.42 Mn |
| 9 | Bce | 19.56 Bn | 17.89 Bn | - | - |
| 10 | Viasat | 10.06 Bn | 4.08 Bn | 412.84 Mn | -2.40 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -2.40 Mn |
| Mar 31, 2026 | 704,000.00 |
| Dec 31, 2025 | -3.05 Mn |
| Sep 30, 2025 | 3.96 Mn |
| Jun 30, 2025 | -3.30 Mn |
| Mar 31, 2025 | -2.65 Mn |
| Dec 31, 2024 | 4.71 Mn |
| Sep 30, 2024 | -1.67 Mn |
| Jun 30, 2024 | 3.44 Mn |
| Mar 31, 2024 | -1.12 Mn |
| Dec 31, 2023 | 2.13 Mn |
| Sep 30, 2023 | -1.35 Mn |
| Jun 30, 2023 | 617,000.00 |
| Mar 31, 2023 | 318,000.00 |
| Dec 31, 2022 | 1.84 Mn |
| Sep 30, 2022 | -1.07 Mn |
| Jun 30, 2022 | -1.93 Mn |
| Mar 31, 2022 | -1.28 Mn |
| Dec 31, 2021 | -863,000.00 |
| Sep 30, 2021 | -1.74 Mn |
Viasat 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=VSAT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "ticker": "VSAT", "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=VSAT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();