Amplify Energy (AMPY) Operating Expenses (2011 - 2026)
Amplify Energy (AMPY) recorded Operating Expenses of $29.44 million in Q2 2026, down 47.2% from $55.8 million a year earlier and down 66.1% from the prior quarter.
Amplify Energy (AMPY) Operating Expenses (2011 - 2026) Analysis & Trends
On a TTM basis, Amplify Energy's Operating Expenses came in at $170.79 million as of Jun 30, 2026, down 30.2% year-over-year; for FY2025, it came in at $186.42 million, down 29.5% from FY2024.
- Annual Operating Expenses has a five-year compound annual growth rate of -22.0% (FY2020 to FY2025).
- Across earlier years, Operating Expenses came in at $264.26 million in FY2024 (+14.2%), $231.38 million in FY2023 (-40.1%), $386.47 million in FY2022 (+4.9%) and $368.53 million in FY2021 (-42.8%).
- Quarterly Operating Expenses has ranged from -$38.34 million in Q4 2025 to $157.63 million in Q1 2022 over the past five years.
- On a year-over-year basis, Operating Expenses rose in three of the last seven quarters, with growth averaging 36.0%.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 220.1% in Q4 2024, against a decline of 66.2% in Q1 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $86.77 million (Q1 2026), -$38.34 million (Q4 2025) and $92.92 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Shell | 548.90 Bn | 459.45 Bn | 30.13 Bn | 3.19 Bn |
| 2 | Chevron | 407.58 Bn | 385.38 Bn | 33.45 Bn | 53.37 Bn |
| 3 | TotalEnergies SE | 199.37 Bn | 82.49 Bn | - | 46.44 Bn |
| 4 | Eni Spa | 174.90 Bn | 124.42 Bn | - | - |
| 5 | Conocophillips | 151.32 Bn | 124.03 Bn | 12.81 Bn | 2.43 Bn |
| 6 | Equinor Asa | 105.71 Bn | 51.77 Bn | - | -22.18 Bn |
| 7 | Phillips 66 | 101.18 Bn | 90.17 Bn | 8.38 Bn | 47.07 Bn |
| 8 | Canadian Natural Resources | 99.04 Bn | 95.99 Bn | - | 114.95 Mn |
| 9 | Suncor Energy | 82.08 Bn | 67.87 Bn | - | 17.00 Mn |
| 10 | Amplify Energy | 173.00 Mn | 49.64 Mn | 52.00 Mn | 29.44 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 29.44 Mn |
| Mar 31, 2026 | 86.77 Mn |
| Dec 31, 2025 | -38.34 Mn |
| Sep 30, 2025 | 92.92 Mn |
| Jun 30, 2025 | 55.80 Mn |
| Mar 31, 2025 | 76.04 Mn |
| Dec 31, 2024 | 75.67 Mn |
| Sep 30, 2024 | 37.26 Mn |
| Jun 30, 2024 | 65.95 Mn |
| Mar 31, 2024 | 85.38 Mn |
| Dec 31, 2023 | 23.64 Mn |
| Sep 30, 2023 | 89.09 Mn |
| Jun 30, 2023 | 65.38 Mn |
| Mar 31, 2023 | 53.27 Mn |
| Dec 31, 2022 | 64.22 Mn |
| Sep 30, 2022 | 75.12 Mn |
| Jun 30, 2022 | 89.50 Mn |
| Mar 31, 2022 | 157.63 Mn |
| Dec 31, 2021 | 54.80 Mn |
| Sep 30, 2021 | 107.33 Mn |
Amplify Energy Operating Expenses 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=operating-expenses&ticker=AMPY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "AMPY", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=operating-expenses&ticker=AMPY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();