Liberty Global (LBTYA) Price to Earnings (2013 - 2024)
Liberty Global's (LBTYA) Price to Earnings stood at 2.95 in Q4 2024.
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Analysis
Liberty Global (LBTYA) Price to Earnings (2013 - 2024) Analysis & Trends
Starting with Q1 2013, Liberty Global's Price to Earnings history includes 20 quarters.
- Across earlier years, Price to Earnings came in at 3.24 in FY2022 (+447.8%) and 0.59 in FY2021.
- The Q4 2024 figure is the highest quarterly Price to Earnings since Q4 2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Verizon Communications | 187.75 Bn | 152.16 Bn | 27.03 Bn |
| 2 | T-Mobile US | 170.67 Bn | 155.42 Bn | 14.76 Bn |
| 3 | At&T | 153.32 Bn | 110.77 Bn | 26.22 Bn |
| 4 | Grupo Televisa, S.A.B | 148.71 Bn | 141.01 Bn | 318.12 Mn |
| 5 | Comcast | 80.85 Bn | 46.81 Bn | - |
| 6 | Vodafone Group Public | 39.22 Bn | 12.89 Bn | - |
| 7 | Chunghwa Telecom | 37.80 Bn | 30.30 Bn | 728.80 Mn |
| 8 | EchoStar | 24.89 Bn | 16.03 Bn | 1.65 Bn |
| 9 | Telefonica Brasil | 20.92 Bn | 14.94 Bn | 1.42 Bn |
| 10 | Liberty Global | 2.77 Bn | -5.07 Bn | 796.60 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2024 | 2.95 |
| Dec 31, 2022 | 3.24 |
| Sep 30, 2022 | 0.56 |
| Jun 30, 2022 | 1.15 |
| Mar 31, 2022 | 0.52 |
| Dec 31, 2021 | 0.59 |
| Sep 30, 2021 | 0.72 |
| Jun 30, 2021 | 0.75 |
| Jun 30, 2020 | 0.58 |
| Mar 31, 2020 | 0.43 |
| Dec 31, 2019 | 0.72 |
| Sep 30, 2019 | 0.70 |
| Jun 30, 2019 | 9.66 |
| Mar 31, 2019 | 4.97 |
| Dec 31, 2018 | 11.80 |
| Sep 30, 2017 | 40.10 |
| Jun 30, 2017 | 17.35 |
| Mar 31, 2017 | 11.20 |
| Dec 31, 2016 | 9.25 |
| Mar 31, 2013 | 24.02 |
API Access
Liberty Global Price to Earnings 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=price-to-earnings&ticker=LBTYA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "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=price-to-earnings&ticker=LBTYA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();