Adient (ADNT) Operating Expenses (2015 - 2026)
Adient (ADNT) reported Operating Expenses of $141 million for fiscal Q3 2026 (quarter ended Jun 30, 2026), up 3.7% from $136 million a year earlier but down 1.4% from the prior quarter.
Adient (ADNT) Operating Expenses (2015 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Adient's Operating Expenses came in at $573 million, down 37.6% year-over-year; for FY2025 (ended Sep 30, 2025), it came in at $914 million, up 35.4% from FY2024.
- Operating Expenses has a five-year compound annual growth rate of 2.8% (FY2020 to FY2025).
- By fiscal year, Operating Expenses came in at $675 million in FY2024 (+13.6%), $594 million in FY2023 (-4.7%), $623 million in FY2022 (+11.6%) and $558 million in FY2021 (-29.9%).
- Five-year quarterly Operating Expenses spans a low of $105 million in fiscal Q4 2021 and a high of $495 million in fiscal Q2 2025.
- Year over year, Operating Expenses gained in four of the last eight quarters, with growth averaging 4.3%.
- The high point for year-over-year Operating Expenses in five years was fiscal Q2 2025 (growth of 106.3%); the low point was fiscal Q2 2026 (a decline of 71.1%).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $143 million (Q2 2026), $154 million (Q1 2026) and $135 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,252.82 Bn | 1,078.84 Bn | 4.75 Bn | 4.35 Bn |
| 2 | Ferrari | 70.74 Bn | 63.23 Bn | 1.18 Bn | 471.42 Mn |
| 3 | General Motors | 66.51 Bn | -38.10 Bn | 9.28 Bn | 46.42 Bn |
| 4 | Ford Motor | 47.64 Bn | -94.85 Bn | 6.08 Bn | 47.66 Bn |
| 5 | Honda Motor | 45.38 Bn | -104.43 Bn | 8.46 Bn | -34.70 Bn |
| 6 | Toyota Motor | 24.76 Bn | -376.05 Bn | 20.95 Bn | 78.18 Bn |
| 7 | Magna International | 18.22 Bn | 12.24 Bn | 1.61 Bn | 273.20 Mn |
| 8 | Rivian Automotive | 16.67 Bn | -6.64 Bn | 179.00 Mn | 1.02 Bn |
| 9 | Stellantis | 12.31 Bn | -152.34 Bn | 5.55 Bn | 4.85 Bn |
| 10 | Adient | 1.36 Bn | -2.21 Bn | 235.00 Mn | 141.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 141.00 Mn |
| Mar 31, 2026 | 143.00 Mn |
| Dec 31, 2025 | 154.00 Mn |
| Sep 30, 2025 | 135.00 Mn |
| Jun 30, 2025 | 136.00 Mn |
| Mar 31, 2025 | 495.00 Mn |
| Dec 31, 2024 | 148.00 Mn |
| Sep 30, 2024 | 140.00 Mn |
| Jun 30, 2024 | 137.00 Mn |
| Mar 31, 2024 | 240.00 Mn |
| Dec 31, 2023 | 158.00 Mn |
| Sep 30, 2023 | 137.00 Mn |
| Jun 30, 2023 | 154.00 Mn |
| Mar 31, 2023 | 158.00 Mn |
| Dec 31, 2022 | 145.00 Mn |
| Sep 30, 2022 | 164.00 Mn |
| Jun 30, 2022 | 154.00 Mn |
| Mar 31, 2022 | 139.00 Mn |
| Dec 31, 2021 | 166.00 Mn |
| Sep 30, 2021 | 105.00 Mn |
Adient 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=ADNT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "ADNT", "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=ADNT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();