Gogo (GOGO) Other Accumulated Expenses (2012 - 2026)
Gogo (GOGO) posted Other Accumulated Expenses of $21.42 million for Q2 2026, up 32.6% from $16.15 million a year earlier but down 0.5% from the prior quarter.
Gogo (GOGO) Other Accumulated Expenses (2012 - 2026) Analysis & Trends
At the end of FY2025, Gogo's Other Accumulated Expenses came in at $23.32 million, up 68.7% from FY2024.
- Annual Other Accumulated Expenses shows a five-year compound annual growth rate of 5.5% (FY2020 to FY2025).
- In prior years, Gogo's Other Accumulated Expenses was $13.82 million in FY2024 (+74.3%), $7.93 million in FY2023 (-19.7%), $9.88 million in FY2022 (+32.1%) and $7.48 million in FY2021 (-58.1%).
- Quarterly Other Accumulated Expenses has run from a low of $6.31 million in Q2 2023 to a high of $23.32 million in Q4 2025 over five years.
- On a year-over-year basis, Other Accumulated Expenses has increased in each of the last nine quarters, with growth averaging 63.8% over the last eight quarters.
- The strongest year-over-year quarter for Other Accumulated Expenses in the past five years was Q2 2025, with growth of 127.8%; the weakest was Q1 2022, with a decline of 76.7%.
- According to Business Quant data, Other Accumulated Expenses for the three prior quarters was $21.52 million (Q1 2026), $23.32 million (Q4 2025) and $13.26 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Verizon Communications | 190.87 Bn | 155.27 Bn | 27.03 Bn |
| 2 | T-Mobile US | 175.88 Bn | 160.63 Bn | 14.76 Bn |
| 3 | At&T | 166.65 Bn | 114.60 Bn | 25.82 Bn |
| 4 | Grupo Televisa, S.A.B | 142.49 Bn | 131.12 Bn | 318.12 Mn |
| 5 | Comcast | 76.29 Bn | 40.54 Bn | - |
| 6 | Chunghwa Telecom | 35.81 Bn | 31.66 Bn | 728.80 Mn |
| 7 | EchoStar | 27.35 Bn | 18.48 Bn | 1.65 Bn |
| 8 | AST SpaceMobile | 22.74 Bn | 23.25 Bn | 7.95 Mn |
| 9 | Telefonica Brasil | 18.42 Bn | 12.42 Bn | 1.42 Bn |
| 10 | Gogo | 285.90 Mn | -139.55 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 21.42 Mn |
| Mar 31, 2026 | 21.52 Mn |
| Dec 31, 2025 | 23.32 Mn |
| Sep 30, 2025 | 13.26 Mn |
| Jun 30, 2025 | 16.15 Mn |
| Mar 31, 2025 | 14.91 Mn |
| Dec 31, 2024 | 13.82 Mn |
| Sep 30, 2024 | 9.15 Mn |
| Jun 30, 2024 | 7.09 Mn |
| Mar 31, 2024 | 7.21 Mn |
| Dec 31, 2023 | 7.93 Mn |
| Sep 30, 2023 | 8.26 Mn |
| Jun 30, 2023 | 6.31 Mn |
| Mar 31, 2023 | 10.01 Mn |
| Dec 31, 2022 | 9.88 Mn |
| Sep 30, 2022 | 8.29 Mn |
| Jun 30, 2022 | 9.63 Mn |
| Mar 31, 2022 | 10.43 Mn |
| Dec 31, 2021 | 7.48 Mn |
| Sep 30, 2021 | 10.82 Mn |
Gogo 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=GOGO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "ticker": "GOGO", "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=GOGO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();