Liberty Global (LBTYK) Selling, General & Administrative (2012 - 2026)
Analysis
Liberty Global (LBTYK) Selling, General & Administrative (2012 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 482.00 Mn |
| 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 |
API Access
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=LBTYK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "ticker": "LBTYK", "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=LBTYK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();