Ugi Corp /Pa/ (UGI) Income before Taxes (2009 - 2026)
Analysis
Ugi Corp /Pa/ (UGI) Income before Taxes (2009 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -161.00 Mn |
| Mar 31, 2026 | 660.00 Mn |
| Dec 31, 2025 | 351.00 Mn |
| Sep 30, 2025 | -87.00 Mn |
| Jun 30, 2025 | -228.00 Mn |
| Mar 31, 2025 | 594.00 Mn |
| Dec 31, 2024 | 417.00 Mn |
| Sep 30, 2024 | -354.00 Mn |
| Jun 30, 2024 | -55.00 Mn |
| Mar 31, 2024 | 629.00 Mn |
| Dec 31, 2023 | 120.00 Mn |
| Sep 30, 2023 | 157.00 Mn |
| Jun 30, 2023 | -835.00 Mn |
| Mar 31, 2023 | 164.00 Mn |
| Dec 31, 2022 | -1.32 Bn |
| Sep 30, 2022 | 271.00 Mn |
| Jun 30, 2022 | -8.00 Mn |
| Mar 31, 2022 | 1.27 Bn |
| Dec 31, 2021 | -142.00 Mn |
| Sep 30, 2021 | 727.00 Mn |
API Access
Ugi Corp /Pa/ Income before Taxes 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=income-before-taxes&ticker=UGI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "income-before-taxes", "ticker": "UGI", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=income-before-taxes&ticker=UGI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();