Gogo (GOGO) Other Operating Expenses (2012 - 2026)
Gogo's Other Operating Expenses was $152.16 million in Q2 2026, up 4.0% from $146.33 million a year earlier but down 0.7% from the prior quarter.
Gogo (GOGO) Other Operating Expenses (2012 - 2026) Analysis & Trends
On a trailing twelve-month basis, Gogo's Other Operating Expenses was $627.05 million through Jun 30, 2026, up 42.1% year-over-year; for FY2025, it was $619.39 million, up 148.4% from FY2024.
- Other Operating Expenses has now increased for five consecutive years, with a five-year compound annual growth rate of 37.8% (FY2020 to FY2025).
- In earlier years, Other Operating Expenses was $249.4 million in FY2024 (+25.1%), $199.43 million in FY2023 (+4.4%), $190.96 million in FY2022 (+29.0%) and $148.05 million in FY2021 (+18.7%).
- Quarterly Other Operating Expenses has moved between $35.18 million (Q1 2023) and $169.83 million (Q4 2025) over five years.
- Compared with a year earlier, Other Operating Expenses has increased for ten straight quarters, with growth averaging 91.7% over the last eight quarters.
- The best year-over-year quarter for Other Operating Expenses over five years was Q1 2025 (growth of 196.1%); the worst was Q2 2023 (a decline of 20.2%).
- Per Business Quant data, GOGO's Other Operating Expenses in the three quarters before Q2 2026 was $153.29 million (Q1 2026), $169.83 million (Q4 2025) and $151.77 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Verizon Communications | 190.79 Bn | 157.13 Bn | 27.05 Bn |
| 2 | T-Mobile US | 173.48 Bn | 155.91 Bn | 15.13 Bn |
| 3 | At&T | 147.74 Bn | 89.20 Bn | 26.22 Bn |
| 4 | Grupo Televisa, S.A.B | 147.02 Bn | 147.02 Bn | 960.50 Mn |
| 5 | Comcast | 86.74 Bn | 52.53 Bn | - |
| 6 | Chunghwa Telecom | 38.68 Bn | 30.69 Bn | 728.80 Mn |
| 7 | Vodafone Group Public | 37.42 Bn | 6.82 Bn | - |
| 8 | EchoStar | 27.50 Bn | 8.54 Bn | 647.20 Mn |
| 9 | Bce | 20.09 Bn | 18.08 Bn | 2.79 Bn |
| 10 | Gogo | 530.00 Mn | 104.54 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 159.51 Mn |
| Mar 31, 2026 | 161.93 Mn |
| Dec 31, 2025 | 171.57 Mn |
| Sep 30, 2025 | 151.30 Mn |
| Jun 30, 2025 | 148.92 Mn |
| Mar 31, 2025 | 151.73 Mn |
| Dec 31, 2024 | 82.81 Mn |
| Sep 30, 2024 | 46.78 Mn |
| Jun 30, 2024 | 48.23 Mn |
| Mar 31, 2024 | 44.58 Mn |
| Dec 31, 2023 | 34.86 Mn |
| Sep 30, 2023 | 40.24 Mn |
| Jun 30, 2023 | 45.05 Mn |
| Mar 31, 2023 | 44.59 Mn |
| Dec 31, 2022 | 47.31 Mn |
| Sep 30, 2022 | 45.51 Mn |
| Jun 30, 2022 | 42.19 Mn |
| Mar 31, 2022 | 38.94 Mn |
| Dec 31, 2021 | 38.91 Mn |
| Sep 30, 2021 | 35.05 Mn |
Gogo Other Operating 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-operating-expenses&ticker=GOGO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-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-operating-expenses&ticker=GOGO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();