Viasat (VSAT) Other Accumulated Expenses (2012 - 2026)
Viasat (VSAT) reported Other Accumulated Expenses of $361.96 million for fiscal Q1 2027 (quarter ended Jun 30, 2026), up 26.8% from $285.52 million a year earlier and up 1.7% from the prior quarter.
Viasat (VSAT) Other Accumulated Expenses (2012 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), Viasat posted Other Accumulated Expenses of $355.92 million, up 14.3% from FY2025.
- Other Accumulated Expenses has increased for eight consecutive fiscal years, with a five-year compound annual growth rate of 25.6% (FY2021 to FY2026).
- By fiscal year, Other Accumulated Expenses came in at $311.45 million in FY2025 (+17.4%), $265.21 million in FY2024 (+69.3%), $156.65 million in FY2023 (+17.1%) and $133.72 million in FY2022 (+17.3%).
- The fiscal Q1 2027 figure ranks as the highest quarterly Other Accumulated Expenses since fiscal Q3 2024.
- Year over year, Other Accumulated Expenses has now increased in each of the last six quarters, with growth averaging 2.4% over the last eight quarters.
- The high point for year-over-year Other Accumulated Expenses in five years was fiscal Q2 2024 (growth of 180.6%); the low point was fiscal Q3 2025 (a decline of 45.5%).
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at $355.92 million (Q4 2026), $268.13 million (Q3 2026) and $251.04 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 | 361.96 Mn |
| Mar 31, 2026 | 355.92 Mn |
| Dec 31, 2025 | 268.13 Mn |
| Sep 30, 2025 | 251.04 Mn |
| Jun 30, 2025 | 285.52 Mn |
| Mar 31, 2025 | 311.45 Mn |
| Dec 31, 2024 | 219.61 Mn |
| Sep 30, 2024 | 241.35 Mn |
| Jun 30, 2024 | 233.43 Mn |
| Mar 31, 2024 | 265.21 Mn |
| Dec 31, 2023 | 402.97 Mn |
| Sep 30, 2023 | 416.91 Mn |
| Jun 30, 2023 | 341.58 Mn |
| Mar 31, 2023 | 156.65 Mn |
| Dec 31, 2022 | 156.57 Mn |
| Sep 30, 2022 | 148.60 Mn |
| Jun 30, 2022 | 144.56 Mn |
| Mar 31, 2022 | 133.72 Mn |
| Dec 31, 2021 | 137.64 Mn |
| Sep 30, 2021 | 130.48 Mn |
Viasat Other 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=other-accumulated-expenses&ticker=VSAT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-accumulated-expenses&ticker=VSAT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();