Gogo (GOGO) Selling, General & Administrative (2012 - 2026)
Gogo (GOGO) posted Selling, General & Administrative of $23.99 million for Q2 2026, down 16.2% from $28.63 million a year earlier and down 8.5% from the prior quarter.
Gogo (GOGO) Selling, General & Administrative (2012 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Selling, General & Administrative at Gogo was $108.79 million, down 25.9% year-over-year; for FY2025, it came in at $116.74 million, down 6.7% from FY2024.
- Annual Selling, General & Administrative shows a five-year compound annual growth rate of 16.5% (FY2020 to FY2025).
- In prior years, Gogo's Selling, General & Administrative was $125.07 million in FY2024 (+118.4%), $57.28 million in FY2023 (-1.6%), $58.2 million in FY2022 (+12.9%) and $51.55 million in FY2021 (-5.3%).
- The Q2 2026 figure stands as the lowest quarterly Selling, General & Administrative since Q2 2024.
- On a year-over-year basis, Selling, General & Administrative has declined in each of the last three quarters, with growth averaging 54.6% over the last eight quarters.
- The strongest year-over-year quarter for Selling, General & Administrative in the past five years was Q4 2024, with growth of 284.7%; the weakest was Q4 2025, with a decline of 51.7%.
- According to Business Quant data, Selling, General & Administrative for the three prior quarters was $26.21 million (Q1 2026), $30.73 million (Q4 2025) and $27.86 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Verizon Communications | 190.87 Bn | 155.27 Bn | 27.03 Bn | 8.98 Bn |
| 2 | T-Mobile US | 175.88 Bn | 160.63 Bn | 14.76 Bn | 5.83 Bn |
| 3 | At&T | 166.65 Bn | 114.60 Bn | 25.82 Bn | 7.22 Bn |
| 4 | Grupo Televisa, S.A.B | 142.49 Bn | 131.12 Bn | 318.12 Mn | -115.06 Mn |
| 5 | Comcast | 76.29 Bn | 40.54 Bn | - | - |
| 6 | Chunghwa Telecom | 35.81 Bn | 31.66 Bn | 728.80 Mn | 61.34 Mn |
| 7 | EchoStar | 27.35 Bn | 18.48 Bn | 1.65 Bn | 547.85 Mn |
| 8 | AST SpaceMobile | 22.74 Bn | 23.25 Bn | 7.95 Mn | 63.90 Mn |
| 9 | Telefonica Brasil | 18.42 Bn | 12.42 Bn | 1.42 Bn | -203.00 Mn |
| 10 | Gogo | 285.90 Mn | -139.55 Mn | - | 23.99 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 23.99 Mn |
| Mar 31, 2026 | 26.21 Mn |
| Dec 31, 2025 | 30.73 Mn |
| Sep 30, 2025 | 27.86 Mn |
| Jun 30, 2025 | 28.63 Mn |
| Mar 31, 2025 | 29.52 Mn |
| Dec 31, 2024 | 63.66 Mn |
| Sep 30, 2024 | 24.92 Mn |
| Jun 30, 2024 | 21.85 Mn |
| Mar 31, 2024 | 14.65 Mn |
| Dec 31, 2023 | 16.55 Mn |
| Sep 30, 2023 | 13.34 Mn |
| Jun 30, 2023 | 13.20 Mn |
| Mar 31, 2023 | 14.20 Mn |
| Dec 31, 2022 | 13.91 Mn |
| Sep 30, 2022 | 15.47 Mn |
| Jun 30, 2022 | 15.36 Mn |
| Mar 31, 2022 | 13.46 Mn |
| Dec 31, 2021 | 14.19 Mn |
| Sep 30, 2021 | 15.25 Mn |
Gogo Selling, General & Administrative 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=selling-general-and-administrative&ticker=GOGO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=GOGO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();