Liberty Global (LBTYA) Selling, General & Administrative (2012 - 2026)
Liberty Global (LBTYA) reported Selling, General & Administrative of $312.3 million for Q2 2026, up 2.3% from $305.3 million a year earlier and up 4.6% from the prior quarter.
Liberty Global (LBTYA) Selling, General & Administrative (2012 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Liberty Global's Selling, General & Administrative came in at $1.25 billion, up 5.7% year-over-year; for FY2025, it was $1.22 billion, up 7.5% from FY2024.
- Selling, General & Administrative has a five-year compound annual growth rate of -10.7% (FY2020 to FY2025).
- By year, Selling, General & Administrative came in at $1.14 billion in FY2024, $89.6 million in FY2023, $1.01 billion in FY2022 (-53.3%) and $2.15 billion in FY2021 (+0.2%).
- Five-year quarterly Selling, General & Administrative spans a low of -$175.5 million in Q4 2022 and a high of $487.5 million in Q4 2021.
- Year over year, Selling, General & Administrative has now increased in each of the last six quarters, with growth averaging 0.5% over the last seven quarters.
- The high point for year-over-year Selling, General & Administrative in five years was Q3 2023 (growth of 16.1%); the low point was Q1 2022 (a decline of 37.7%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $298.6 million (Q1 2026), $329.7 million (Q4 2025) and $308 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Verizon Communications | 187.75 Bn | 152.16 Bn | 27.03 Bn | 8.98 Bn |
| 2 | T-Mobile US | 170.67 Bn | 155.42 Bn | 14.76 Bn | 5.83 Bn |
| 3 | At&T | 153.32 Bn | 110.77 Bn | 26.22 Bn | 7.44 Bn |
| 4 | Grupo Televisa, S.A.B | 148.71 Bn | 141.01 Bn | 318.12 Mn | -115.06 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 | 61.34 Mn |
| 8 | EchoStar | 24.89 Bn | 16.03 Bn | 1.65 Bn | 547.85 Mn |
| 9 | Telefonica Brasil | 20.92 Bn | 14.94 Bn | 1.42 Bn | -203.00 Mn |
| 10 | Liberty Global | 2.77 Bn | -5.07 Bn | 796.60 Mn | 312.30 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 312.30 Mn |
| Mar 31, 2026 | 298.60 Mn |
| Dec 31, 2025 | 329.70 Mn |
| Sep 30, 2025 | 308.00 Mn |
| Jun 30, 2025 | 305.30 Mn |
| Mar 31, 2025 | 285.40 Mn |
| Dec 31, 2024 | 320.10 Mn |
| Sep 30, 2024 | 270.30 Mn |
| Jun 30, 2024 | 285.50 Mn |
| Mar 31, 2024 | 262.70 Mn |
| Dec 31, 2023 | -162.00 Mn |
| Sep 30, 2023 | 423.70 Mn |
| Jun 30, 2023 | 442.10 Mn |
| Mar 31, 2023 | 415.40 Mn |
| Dec 31, 2022 | -175.50 Mn |
| Sep 30, 2022 | 365.10 Mn |
| Jun 30, 2022 | 405.80 Mn |
| Mar 31, 2022 | 410.40 Mn |
| Dec 31, 2021 | 487.50 Mn |
| Sep 30, 2021 | 399.00 Mn |
Liberty Global 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=LBTYA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=LBTYA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();