Aptiv (APTV) Operating Expenses (2011 - 2026)
Aptiv (APTV) reported Operating Expenses of $2.91 billion for Q2 2026, up 1.1% from $2.87 billion a year earlier but down 38.3% from the prior quarter.
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Analysis
Aptiv (APTV) Operating Expenses (2011 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Aptiv's Operating Expenses came in at $17.73 billion, up 10.6% year-over-year; for FY2025, it came in at $19.21 billion, up 7.5% from FY2024.
- Operating Expenses has a five-year compound annual growth rate of 11.9% (FY2020 to FY2025).
- By year, Operating Expenses came in at $17.87 billion in FY2024 (-3.4%), $18.49 billion in FY2023 (+14.0%), $16.23 billion in FY2022 (+12.5%) and $14.43 billion in FY2021 (+31.8%).
- Five-year quarterly Operating Expenses spans a low of $2.87 billion in Q2 2025 and a high of $5.39 billion in Q3 2025.
- Year over year, Operating Expenses has now increased in each of the last four quarters, with an average decline of 1.3% over the last eight quarters.
- The high point for year-over-year Operating Expenses in five years was Q3 2025 (growth of 23.8%); the low point was Q2 2025 (a decline of 37.7%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $4.71 billion (Q1 2026), $4.73 billion (Q4 2025) and $5.39 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 376.87 Bn | 348.57 Bn | 7.76 Bn | 16.25 Bn |
| 2 | Amphenol | 208.65 Bn | 203.35 Bn | 3.55 Bn | 963.40 Mn |
| 3 | Deere | 185.97 Bn | 194.73 Bn | 4.66 Bn | 10.73 Bn |
| 4 | Eaton | 167.50 Bn | 164.73 Bn | 2.86 Bn | 1.46 Bn |
| 5 | Parker-Hannifin | 122.25 Bn | 120.39 Bn | 2.25 Bn | 874.00 Mn |
| 6 | Vertiv Holdings | 93.95 Bn | 84.57 Bn | 1.23 Bn | 490.50 Mn |
| 7 | Emerson Electric | 88.90 Bn | 81.65 Bn | 2.66 Bn | 1.34 Bn |
| 8 | 3M | 87.39 Bn | 68.85 Bn | 2.68 Bn | 5.52 Bn |
| 9 | Illinois Tool Works | 78.00 Bn | 74.56 Bn | 1.90 Bn | - |
| 10 | Aptiv | 9.10 Bn | 1.95 Bn | 775.00 Mn | 2.91 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.91 Bn |
| Mar 31, 2026 | 4.71 Bn |
| Dec 31, 2025 | 4.73 Bn |
| Sep 30, 2025 | 5.39 Bn |
| Jun 30, 2025 | 2.87 Bn |
| Mar 31, 2025 | 4.38 Bn |
| Dec 31, 2024 | 4.43 Bn |
| Sep 30, 2024 | 4.35 Bn |
| Jun 30, 2024 | 4.61 Bn |
| Mar 31, 2024 | 4.48 Bn |
| Dec 31, 2023 | 4.56 Bn |
| Sep 30, 2023 | 4.67 Bn |
| Jun 30, 2023 | 4.79 Bn |
| Mar 31, 2023 | 4.47 Bn |
| Dec 31, 2022 | 4.20 Bn |
| Sep 30, 2022 | 4.14 Bn |
| Jun 30, 2022 | 3.96 Bn |
| Mar 31, 2022 | 3.92 Bn |
| Dec 31, 2021 | 3.87 Bn |
| Sep 30, 2021 | 3.44 Bn |
API Access
Aptiv 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=APTV&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "APTV", "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=APTV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();