Gogo (GOGO) Operating Expenses (2012 - 2026)
Gogo (GOGO) recorded Operating Expenses of $193.16 million in Q2 2026, up 1.6% from $190.08 million a year earlier but down 0.8% from the prior quarter.
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Analysis
Gogo (GOGO) Operating Expenses (2012 - 2026) Analysis & Trends
On a TTM basis, Gogo's Operating Expenses came in at $799 million as of Jun 30, 2026, up 27.1% year-over-year; for FY2025, it was $796.41 million, up 102.4% from FY2024.
- Annual Operating Expenses has increased for five straight years, with a five-year compound annual growth rate of 32.7% (FY2020 to FY2025).
- Across earlier years, Operating Expenses came in at $393.44 million in FY2024 (+43.9%), $273.41 million in FY2023 (+4.5%), $261.74 million in FY2022 (+21.7%) and $215.09 million in FY2021 (+11.2%).
- Quarterly Operating Expenses has ranged from $56.26 million in Q3 2021 to $216.37 million in Q4 2025 over the past five years.
- On a year-over-year basis, Operating Expenses rose in seven of the last eight quarters, with growth averaging 79.9%.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 180.2% in Q1 2025, against a decline of 6.3% in Q3 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $194.63 million (Q1 2026), $216.37 million (Q4 2025) and $194.84 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Verizon Communications | 190.70 Bn | 155.11 Bn | 27.03 Bn | 27.07 Bn |
| 2 | T-Mobile US | 175.28 Bn | 160.03 Bn | 14.76 Bn | 17.30 Bn |
| 3 | At&T | 167.47 Bn | 115.42 Bn | 25.82 Bn | 24.52 Bn |
| 4 | Grupo Televisa, S.A.B | 141.87 Bn | 130.50 Bn | 318.12 Mn | -117.85 Mn |
| 5 | Comcast | 76.96 Bn | 41.21 Bn | - | 24.78 Bn |
| 6 | Chunghwa Telecom | 35.31 Bn | 31.16 Bn | 728.80 Mn | 309.31 Mn |
| 7 | EchoStar | 25.94 Bn | 17.08 Bn | 1.65 Bn | 3.06 Bn |
| 8 | AST SpaceMobile | 22.90 Bn | 23.41 Bn | 7.95 Mn | 329.10 Mn |
| 9 | Bce | 18.99 Bn | 17.31 Bn | - | -2.51 Bn |
| 10 | Gogo | 291.32 Mn | -134.14 Mn | - | 193.16 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 193.16 Mn |
| Mar 31, 2026 | 194.63 Mn |
| Dec 31, 2025 | 216.37 Mn |
| Sep 30, 2025 | 194.84 Mn |
| Jun 30, 2025 | 190.08 Mn |
| Mar 31, 2025 | 195.12 Mn |
| Dec 31, 2024 | 161.95 Mn |
| Sep 30, 2024 | 81.46 Mn |
| Jun 30, 2024 | 80.38 Mn |
| Mar 31, 2024 | 69.65 Mn |
| Dec 31, 2023 | 72.93 Mn |
| Sep 30, 2023 | 64.63 Mn |
| Jun 30, 2023 | 69.18 Mn |
| Mar 31, 2023 | 66.67 Mn |
| Dec 31, 2022 | 69.47 Mn |
| Sep 30, 2022 | 68.98 Mn |
| Jun 30, 2022 | 65.50 Mn |
| Mar 31, 2022 | 57.80 Mn |
| Dec 31, 2021 | 59.97 Mn |
| Sep 30, 2021 | 56.26 Mn |
API Access
Gogo 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=operating-expenses&ticker=GOGO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=operating-expenses&ticker=GOGO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();