Ugi Corp /Pa/ (UGI) Depreciation and Amortization (2009 - 2026)
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Analysis
Ugi Corp /Pa/ (UGI) Depreciation and Amortization (2009 - 2026) Analysis & Trends
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Historic Data
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Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 138.00 Mn |
| Mar 31, 2026 | 138.00 Mn |
| Dec 31, 2025 | 140.00 Mn |
| Sep 30, 2025 | 145.00 Mn |
| Jun 30, 2025 | 140.00 Mn |
| Mar 31, 2025 | 138.00 Mn |
| Dec 31, 2024 | 138.00 Mn |
| Sep 30, 2024 | 137.00 Mn |
| Jun 30, 2024 | 139.00 Mn |
| Mar 31, 2024 | 138.00 Mn |
| Dec 31, 2023 | 137.00 Mn |
| Sep 30, 2023 | 135.00 Mn |
| Jun 30, 2023 | 134.00 Mn |
| Mar 31, 2023 | 132.00 Mn |
| Dec 31, 2022 | 131.00 Mn |
| Sep 30, 2022 | 131.00 Mn |
| Jun 30, 2022 | 130.00 Mn |
| Mar 31, 2022 | 128.00 Mn |
| Dec 31, 2021 | 129.00 Mn |
| Sep 30, 2021 | 127.00 Mn |
API Access
Ugi Corp /Pa/ Depreciation and Amortization 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=depreciation-and-amortization&ticker=UGI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-amortization", "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=depreciation-and-amortization&ticker=UGI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();