AerCap Holdings (AER) Operating Expenses (2009 - 2026)
AerCap Holdings' Operating Expenses came in at $1.37 billion for Q2 2026, up 182.4% from $484.7 million a year earlier and up 1.7% from the prior quarter.
AerCap Holdings (AER) Operating Expenses (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, AerCap Holdings reported Operating Expenses of $5.31 billion, up 11.5% year-over-year; for FY2025, it came in at $4.44 billion, down 22.7% from FY2024.
- Operating Expenses carries a five-year compound annual growth rate of -1.0% (FY2020 to FY2025).
- Going back by year, Operating Expenses was $5.74 billion in FY2024 (+33.1%), $4.31 billion in FY2023 (-46.1%), $8 billion in FY2022 (+96.1%) and $4.08 billion in FY2021 (-12.6%).
- The five-year range for quarterly Operating Expenses is $484.7 million (Q2 2025) to $4.07 billion (Q1 2022).
- Year-over-year, Operating Expenses increased in four of the last eight quarters, with growth averaging 35.5%.
- The fastest year-over-year change in Operating Expenses over five years came in Q1 2022 (growth of 392.1%), and the weakest in Q2 2025 (a decline of 66.5%).
- Business Quant data shows AER's Operating Expenses at $1.35 billion (Q1 2026), $1.65 billion (Q4 2025) and $940.33 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 320.36 Bn | 274.13 Bn | 4.68 Bn | 10.86 Bn |
| 2 | Rtx | 247.12 Bn | 218.60 Bn | 5.13 Bn | 21.96 Bn |
| 3 | Boeing | 147.44 Bn | 54.13 Bn | 2.41 Bn | 2.35 Bn |
| 4 | Lockheed Martin | 115.87 Bn | 102.60 Bn | 2.45 Bn | - |
| 5 | General Dynamics | 89.87 Bn | 76.98 Bn | 2.18 Bn | 12.63 Bn |
| 6 | Howmet Aerospace | 86.73 Bn | 82.33 Bn | 951.00 Mn | 156.00 Mn |
| 7 | Motorola Solutions | 74.51 Bn | 70.85 Bn | 1.68 Bn | 756.00 Mn |
| 8 | Northrop Grumman | 68.22 Bn | 57.46 Bn | 2.12 Bn | 9.78 Bn |
| 9 | Honeywell International | 65.74 Bn | 17.87 Bn | 3.65 Bn | 1.87 Bn |
| 10 | AerCap Holdings | 25.11 Bn | 18.75 Bn | - | 1.37 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.37 Bn |
| Mar 31, 2026 | 1.35 Bn |
| Dec 31, 2025 | 1.65 Bn |
| Sep 30, 2025 | 940.33 Mn |
| Jun 30, 2025 | 484.70 Mn |
| Mar 31, 2025 | 1.36 Bn |
| Dec 31, 2024 | 1.35 Bn |
| Sep 30, 2024 | 1.56 Bn |
| Jun 30, 2024 | 1.45 Bn |
| Mar 31, 2024 | 1.37 Bn |
| Dec 31, 2023 | 820.62 Mn |
| Sep 30, 2023 | 702.43 Mn |
| Jun 30, 2023 | 1.38 Bn |
| Mar 31, 2023 | 1.41 Bn |
| Dec 31, 2022 | 1.37 Bn |
| Sep 30, 2022 | 1.26 Bn |
| Jun 30, 2022 | 1.30 Bn |
| Mar 31, 2022 | 4.07 Bn |
| Dec 31, 2021 | 1.35 Bn |
| Sep 30, 2021 | 955.25 Mn |
AerCap Holdings 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=AER&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "AER", "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=AER&period=max&api_key=YOUR_API_KEY");
const data = await res.json();