Viasat (VSAT) Accumulated Expenses (2010 - 2026)
Viasat's (VSAT) quarterly Accumulated Expenses came in at $902.5 million in Q2 2026, up 4.06% year-over-year from $867.3 million in Q2 2025, and down 5.12% quarter-over-quarter from $951.2 million in Q1 2026.
Viasat (VSAT) Accumulated Expenses (2010 - 2026) Analysis & Trends
Viasat (VSAT) has reported Accumulated Expenses for 17 consecutive years, with $902.5 million the latest figure, recorded in Q2 2026.
- On a quarterly basis, Accumulated Expenses rose 4.06% year-over-year to $902.5 million in Q2 2026; TTM through Jun 2026 was $902.5 million, a 4.06% increase from a year earlier, with the FY2026 full-year figure at $951.2 million, up 4.7% from the prior year.
- Accumulated Expenses was $902.5 million for Q2 2026 at Viasat, down from $951.2 million in the prior quarter.
- Over five years, Accumulated Expenses peaked at $1.1 billion in Q3 2023 and troughed at $441.1 million in Q2 2022.
- A 5-year average of $802.2 million and a median of $883.1 million in 2024 frame the typical range for Accumulated Expenses.
- Across the five-year window, Accumulated Expenses soared 142.62% in 2023 and decreased 23.5% in 2024, its largest moves.
- Over 5 years, Accumulated Expenses stood at $445.7 million in 2022, then jumped by 124.14% to $999.1 million in 2023, then slipped by 14.43% to $854.9 million in 2024, then grew by 5.22% to $899.6 million in 2025, then advanced by 0.33% to $902.5 million in 2026.
- The last three Accumulated Expenses figures came in at $902.5 million (Q2 2026), $951.2 million (Q1 2026), and $899.6 million (Q4 2025), per Business Quant data.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (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 | - |
| 6 | Chunghwa Telecom | 35.79 Bn | 31.63 Bn | 728.80 Mn |
| 7 | EchoStar | 26.14 Bn | 17.28 Bn | 1.65 Bn |
| 8 | AST SpaceMobile | 24.05 Bn | 24.55 Bn | 7.95 Mn |
| 9 | Bce | 19.56 Bn | 17.89 Bn | - |
| 10 | Viasat | 10.06 Bn | 4.08 Bn | 412.84 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 902.53 Mn |
| Mar 31, 2026 | 951.19 Mn |
| Dec 31, 2025 | 899.56 Mn |
| Sep 30, 2025 | 814.10 Mn |
| Jun 30, 2025 | 867.32 Mn |
| Mar 31, 2025 | 908.53 Mn |
| Dec 31, 2024 | 854.90 Mn |
| Sep 30, 2024 | 898.92 Mn |
| Jun 30, 2024 | 791.10 Mn |
| Mar 31, 2024 | 950.62 Mn |
| Dec 31, 2023 | 999.07 Mn |
| Sep 30, 2023 | 1.10 Bn |
| Jun 30, 2023 | 1.03 Bn |
| Mar 31, 2023 | 647.23 Mn |
| Dec 31, 2022 | 445.73 Mn |
| Sep 30, 2022 | 452.64 Mn |
| Jun 30, 2022 | 441.14 Mn |
| Mar 31, 2022 | 482.56 Mn |
| Dec 31, 2021 | 505.70 Mn |
| Sep 30, 2021 | 511.09 Mn |
Viasat Accumulated Expenses 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=accumulated-expenses&ticker=VSAT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=VSAT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();