Liberty Global (LBTYA) Total Non-Current Liabilities (2012 - 2026)
Liberty Global's Total Non-Current Liabilities was $11.2 billion in Q2 2026, down 13.1% from $12.89 billion a year earlier and down 0.6% from the prior quarter.
Liberty Global (LBTYA) Total Non-Current Liabilities (2012 - 2026) Analysis & Trends
At the end of FY2025, Total Non-Current Liabilities at Liberty Global came in at $40.83 billion, up 7.4% from FY2024.
- Total Non-Current Liabilities shows a five-year compound annual growth rate of 19.9% (FY2020 to FY2025).
- In earlier years, Total Non-Current Liabilities was $38 billion in FY2024, $36.53 billion in FY2022 (-6.3%) and $38.98 billion in FY2021 (+136.9%).
- The Q2 2026 figure marks the lowest quarterly Total Non-Current Liabilities in data going back to Q4 2012.
- Compared with a year earlier, Total Non-Current Liabilities was higher in two of the last eight quarters, with an average decline of 16.6%.
- The best year-over-year quarter for Total Non-Current Liabilities over five years was Q4 2021 (growth of 136.9%); the worst was Q1 2022 (a decline of 53.6%).
- Per Business Quant data, LBTYA's Total Non-Current Liabilities in the three quarters before Q2 2026 was $11.26 billion (Q1 2026), $40.83 billion (Q4 2025) and $11.46 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Verizon Communications | 185.18 Bn | 148.31 Bn | 27.03 Bn | 242.78 Bn |
| 2 | T-Mobile US | 170.25 Bn | 155.00 Bn | 14.76 Bn | 133.73 Bn |
| 3 | At&T | 162.35 Bn | 94.31 Bn | 25.82 Bn | 165.71 Bn |
| 4 | Grupo Televisa, S.A.B | 149.53 Bn | 141.26 Bn | 318.12 Mn | 5.55 Bn |
| 5 | Comcast | 79.50 Bn | 43.56 Bn | - | 146.48 Bn |
| 6 | Vodafone Group Public | 38.13 Bn | 7.53 Bn | - | 59.09 Bn |
| 7 | Chunghwa Telecom | 36.93 Bn | 28.95 Bn | 728.80 Mn | 18.48 Mn |
| 8 | EchoStar | 25.06 Bn | 16.15 Bn | 1.65 Bn | 21.41 Bn |
| 9 | Telefonica Brasil | 20.65 Bn | 14.67 Bn | 1.42 Bn | 187.58 Mn |
| 10 | Liberty Global | 2.71 Bn | -5.36 Bn | 796.60 Mn | 11.20 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 11.20 Bn |
| Mar 31, 2026 | 11.26 Bn |
| Dec 31, 2025 | 11.73 Bn |
| Sep 30, 2025 | 11.46 Bn |
| Jun 30, 2025 | 12.89 Bn |
| Mar 31, 2025 | 12.23 Bn |
| Dec 31, 2024 | 12.01 Bn |
| Sep 30, 2024 | 21.24 Bn |
| Jun 30, 2024 | 20.66 Bn |
| Mar 31, 2024 | 20.47 Bn |
| Dec 31, 2023 | 21.95 Bn |
| Sep 30, 2023 | 19.84 Bn |
| Jun 30, 2023 | 20.11 Bn |
| Mar 31, 2023 | 19.63 Bn |
| Dec 31, 2022 | 18.53 Bn |
| Sep 30, 2022 | 17.44 Bn |
| Jun 30, 2022 | 17.71 Bn |
| Mar 31, 2022 | 18.86 Bn |
| Dec 31, 2021 | 19.29 Bn |
| Sep 30, 2021 | 19.30 Bn |
Liberty Global 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=LBTYA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "LBTYA", "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=LBTYA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();