Gogo (GOGO) Total Non-Current Liabilities (2012 - 2026)
Gogo (GOGO) reported Total Non-Current Liabilities of $886.17 million for Q2 2026, down 5.2% from $934.57 million a year earlier and down 2.0% from the prior quarter.
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Analysis
Gogo (GOGO) Total Non-Current Liabilities (2012 - 2026) Analysis & Trends
At the end of FY2025, Gogo posted Total Non-Current Liabilities of $933.42 million, down 4.5% from FY2024.
- Total Non-Current Liabilities has a five-year compound annual growth rate of 1.3% (FY2020 to FY2025).
- By year, Total Non-Current Liabilities came in at $977.88 million in FY2024 (+46.2%), $668.82 million in FY2023 (-13.9%), $777.03 million in FY2022 (-0.3%) and $779.33 million in FY2021 (-11.1%).
- The Q2 2026 figure ranks as the lowest quarterly Total Non-Current Liabilities since Q3 2024.
- Year over year, Total Non-Current Liabilities has now declined in each of the last three quarters, with growth averaging 19.6% over the last eight quarters.
- The high point for year-over-year Total Non-Current Liabilities in five years was Q4 2024 (growth of 46.2%); the low point was Q1 2022 (a decline of 35.7%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $903.83 million (Q1 2026), $933.42 million (Q4 2025) and $944.42 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Verizon Communications | 190.70 Bn | 155.11 Bn | 27.03 Bn | 242.78 Bn |
| 2 | T-Mobile US | 175.28 Bn | 160.03 Bn | 14.76 Bn | 133.73 Bn |
| 3 | At&T | 167.47 Bn | 115.42 Bn | 25.82 Bn | 190.02 Bn |
| 4 | Grupo Televisa, S.A.B | 141.87 Bn | 130.50 Bn | 318.12 Mn | 1.39 Bn |
| 5 | Comcast | 76.96 Bn | 41.21 Bn | - | 146.48 Bn |
| 6 | Chunghwa Telecom | 35.31 Bn | 31.16 Bn | 728.80 Mn | 18.63 Mn |
| 7 | EchoStar | 25.94 Bn | 17.08 Bn | 1.65 Bn | 21.41 Bn |
| 8 | AST SpaceMobile | 22.90 Bn | 23.41 Bn | 7.95 Mn | 3.42 Bn |
| 9 | Bce | 18.99 Bn | 17.31 Bn | - | 33.67 Bn |
| 10 | Gogo | 291.32 Mn | -134.14 Mn | - | 886.17 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 886.17 Mn |
| Mar 31, 2026 | 903.83 Mn |
| Dec 31, 2025 | 933.42 Mn |
| Sep 30, 2025 | 944.42 Mn |
| Jun 30, 2025 | 934.57 Mn |
| Mar 31, 2025 | 963.27 Mn |
| Dec 31, 2024 | 977.88 Mn |
| Sep 30, 2024 | 661.00 Mn |
| Jun 30, 2024 | 663.30 Mn |
| Mar 31, 2024 | 666.65 Mn |
| Dec 31, 2023 | 668.82 Mn |
| Sep 30, 2023 | 671.25 Mn |
| Jun 30, 2023 | 673.89 Mn |
| Mar 31, 2023 | 773.99 Mn |
| Dec 31, 2022 | 777.03 Mn |
| Sep 30, 2022 | 778.98 Mn |
| Jun 30, 2022 | 777.52 Mn |
| Mar 31, 2022 | 778.02 Mn |
| Dec 31, 2021 | 779.33 Mn |
| Sep 30, 2021 | 783.05 Mn |
API Access
Gogo Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=GOGO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=GOGO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();