Telefonica S A (TELFY) Assets (2009 - 2025)
Analysis
Telefonica S A (TELFY) Assets (2009 - 2025) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2025 | 108.60 Bn |
| Jun 30, 2025 | 53.17 Bn |
| Mar 31, 2025 | 107.17 Bn |
| Dec 31, 2024 | 104.58 Bn |
| Sep 30, 2024 | 112.24 Bn |
| Jun 30, 2024 | 51.04 Bn |
| Mar 31, 2024 | 112.61 Bn |
| Dec 31, 2023 | 115.47 Bn |
| Sep 30, 2023 | 115.43 Bn |
| Jun 30, 2023 | 55.87 Bn |
| Mar 31, 2023 | 118.13 Bn |
| Dec 31, 2022 | 116.89 Bn |
| Sep 30, 2022 | 113.08 Bn |
| Jun 30, 2022 | 54.26 Bn |
| Mar 31, 2022 | 124.19 Bn |
| Dec 31, 2021 | 123.68 Bn |
| Sep 30, 2021 | 126.64 Bn |
| Jun 30, 2021 | 135.22 Bn |
| Mar 31, 2021 | 120.76 Bn |
| Dec 31, 2020 | 129.21 Bn |
API Access
Telefonica S A Assets 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=assets&ticker=TELFY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "assets", "ticker": "TELFY", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=assets&ticker=TELFY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();