Viasat (VSAT) Accumulated Expenses (2010 - 2026)
Viasat (VSAT) recorded Accumulated Expenses of $902.53 million in fiscal Q1 2027 (quarter ended Jun 30, 2026), up 4.1% from $867.32 million a year earlier but down 5.1% from the prior quarter.
Viasat (VSAT) Accumulated Expenses (2010 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), Viasat reported Accumulated Expenses of $951.19 million, up 4.7% from FY2025.
- Annual Accumulated Expenses has a five-year compound annual growth rate of 12.3% (FY2021 to FY2026).
- Across earlier fiscal years, Accumulated Expenses came in at $908.53 million in FY2025 (-4.4%), $950.62 million in FY2024 (+46.9%), $647.23 million in FY2023 (+34.1%) and $482.56 million in FY2022 (-9.4%).
- Quarterly Accumulated Expenses has ranged from $441.14 million in fiscal Q1 2023 to $1.1 billion in fiscal Q2 2024 over the past five years.
- On a year-over-year basis, Accumulated Expenses has increased for three consecutive quarters, with an average decline of 2.9% over the last eight quarters.
- Peak year-over-year performance for Accumulated Expenses in the last five years was growth of 142.6% in fiscal Q2 2024, against a decline of 23.5% in fiscal Q1 2025 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $951.19 million (Q4 2026), $899.56 million (Q3 2026) and $814.1 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Verizon Communications | 186.37 Bn | 149.50 Bn | 27.03 Bn |
| 2 | T-Mobile US | 172.07 Bn | 156.81 Bn | 14.76 Bn |
| 3 | At&T | 162.52 Bn | 94.48 Bn | 25.82 Bn |
| 4 | Grupo Televisa, S.A.B | 155.17 Bn | 146.91 Bn | 318.12 Mn |
| 5 | Comcast | 78.07 Bn | 42.13 Bn | - |
| 6 | Vodafone Group Public | 38.75 Bn | 8.15 Bn | - |
| 7 | Chunghwa Telecom | 36.94 Bn | 28.95 Bn | 728.80 Mn |
| 8 | EchoStar | 24.82 Bn | 15.91 Bn | 1.65 Bn |
| 9 | Telefonica Brasil | 20.19 Bn | 14.21 Bn | 1.42 Bn |
| 10 | Viasat | 8.09 Bn | 2.03 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();