American Electric Power (AEP) Depreciation and Depletion (2009 - 2026)
American Electric Power (AEP) reported Depreciation and Depletion of $36.5 million for fiscal Q3 2016 (quarter ended Sep 30, 2016), up 1.1% from $36.1 million a year earlier and up 11.6% from the prior quarter.
American Electric Power (AEP) Depreciation and Depletion (2009 - 2026) Analysis & Trends
Over the twelve months ended Sep 30, 2016, American Electric Power's Depreciation and Depletion came in at $1.68 billion, up 7.8% year-over-year; for FY2015 (ended Dec 31, 2015), it was $1.67 billion, up 6.4% from FY2014.
- Depreciation and Depletion has a five-year compound annual growth rate of 64.5% (FY2010 to FY2015).
- By fiscal year, Depreciation and Depletion came in at $1.57 billion in FY2014 (+9.2%), $1.44 billion in FY2013 (-4.2%) and $1.51 billion in FY2012.
- Five-year quarterly Depreciation and Depletion spans a low of $27.2 million in fiscal Q2 2015 and a high of $1.57 billion in fiscal Q4 2015.
- Year over year, Depreciation and Depletion has now increased in each of the last five quarters, with growth averaging 1.7% over the last eight quarters.
- The high point for year-over-year Depreciation and Depletion in five years was fiscal Q2 2014 (growth of 41.4%); the low point was fiscal Q2 2015 (a decline of 33.7%).
- Per Business Quant data, the three fiscal quarters before Q3 2016 came in at $32.7 million (Q2 2016), $40.5 million (Q1 2016) and $1.57 billion (Q4 2015).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Enel Chile | 285.66 Bn | 285.66 Bn | 890.00 Mn | - |
| 2 | Nextera Energy | 159.27 Bn | 160.17 Bn | - | - |
| 3 | Southern | 96.02 Bn | 87.08 Bn | 5.92 Bn | - |
| 4 | Duke Energy | 88.50 Bn | 87.10 Bn | 6.74 Bn | - |
| 5 | National Grid | 78.31 Bn | 59.83 Bn | - | - |
| 6 | American Electric Power | 65.19 Bn | 63.57 Bn | 3.84 Bn | 1.00 Mn |
| 7 | Dominion Energy | 53.46 Bn | 56.14 Bn | - | 3.00 Mn |
| 8 | Sempra | 51.03 Bn | 50.16 Bn | 2.89 Bn | - |
| 9 | Entergy | 46.86 Bn | 36.05 Bn | - | - |
| 10 | Xcel Energy | 44.05 Bn | 38.96 Bn | - | 32.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.00 Mn |
| Mar 31, 2026 | 43.00 Mn |
| Dec 31, 2025 | 500,000.00 |
| Sep 30, 2025 | 600,000.00 |
| Jun 30, 2025 | 1.00 Mn |
| Mar 31, 2025 | 44.90 Mn |
| Dec 31, 2024 | 28.60 Mn |
| Sep 30, 2024 | 28.20 Mn |
| Jun 30, 2024 | 6.90 Mn |
| Mar 31, 2024 | 39.20 Mn |
| Dec 31, 2023 | 20.90 Mn |
| Sep 30, 2023 | 25.50 Mn |
| Jun 30, 2023 | 25.20 Mn |
| Mar 31, 2023 | 25.00 Mn |
| Dec 31, 2022 | 19.80 Mn |
| Sep 30, 2022 | 24.10 Mn |
| Jun 30, 2022 | 16.10 Mn |
| Mar 31, 2022 | 22.90 Mn |
| Dec 31, 2021 | 2.66 Bn |
| Sep 30, 2021 | 21.50 Mn |
American Electric Power Depreciation and Depletion 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-depletion&ticker=AEP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "ticker": "AEP", "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-depletion&ticker=AEP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();