Toyota Motor (TOYOF) Operating Expenses (2009 - 2026)
Toyota Motor (TOYOF) recorded Operating Expenses of $78.18 billion in fiscal Q1 2027 (quarter ended Jun 30, 2026), up 2.0% from $76.62 billion a year earlier and up 1.9% from the prior quarter.
Toyota Motor (TOYOF) Operating Expenses (2009 - 2026) Analysis & Trends
On a TTM basis, Toyota Motor's Operating Expenses came in at $312.89 billion as of Jun 30, 2026, up 6.8% year-over-year; for FY2026 (ended Mar 31, 2026), it came in at $299.18 billion, up 5.6% from FY2025.
- Annual Operating Expenses has increased for five straight fiscal years, with a five-year compound annual growth rate of 4.8% (FY2021 to FY2026).
- Across earlier fiscal years, Operating Expenses came in at $283.43 billion in FY2025 (+2.8%), $275.58 billion in FY2024 (+5.9%), $260.28 billion in FY2023 (+6.6%) and $244.24 billion in FY2022 (+3.3%).
- Quarterly Operating Expenses has ranged from $61.18 billion in fiscal Q1 2023 to $79.7 billion in fiscal Q3 2026 over the past five years.
- On a year-over-year basis, Operating Expenses has increased for seven consecutive quarters, with growth averaging 6.9% over the last eight quarters.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 13.5% in fiscal Q2 2026, against a decline of 10.1% in fiscal Q3 2022 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $76.7 billion (Q4 2026), $79.7 billion (Q3 2026) and $78.3 billion (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,216.24 Bn | 1,042.27 Bn | 4.75 Bn | 4.35 Bn |
| 2 | General Motors | 75.35 Bn | -31.16 Bn | 7.33 Bn | 46.57 Bn |
| 3 | Ferrari | 69.70 Bn | 62.19 Bn | 1.18 Bn | 471.42 Mn |
| 4 | Ford Motor | 48.22 Bn | -94.27 Bn | 6.08 Bn | 47.66 Bn |
| 5 | Honda Motor | 44.40 Bn | -105.41 Bn | 8.46 Bn | -34.70 Bn |
| 6 | Toyota Motor | 24.11 Bn | -382.39 Bn | 20.95 Bn | 78.18 Bn |
| 7 | Magna International | 18.41 Bn | 12.44 Bn | 1.61 Bn | 273.20 Mn |
| 8 | Rivian Automotive | 17.72 Bn | -5.59 Bn | 179.00 Mn | 1.02 Bn |
| 9 | Stellantis | 12.89 Bn | -151.76 Bn | 5.55 Bn | 4.85 Bn |
| 10 | Li Auto | 11.86 Bn | -37.05 Bn | 417.98 Mn | -757.09 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 78.18 Bn |
| Mar 31, 2026 | 76.70 Bn |
| Dec 31, 2025 | 79.70 Bn |
| Sep 30, 2025 | 78.30 Bn |
| Jun 30, 2025 | 76.62 Bn |
| Mar 31, 2025 | 73.72 Bn |
| Dec 31, 2024 | 73.51 Bn |
| Sep 30, 2024 | 68.98 Bn |
| Jun 30, 2024 | 67.64 Bn |
| Mar 31, 2024 | 67.21 Bn |
| Dec 31, 2023 | 70.09 Bn |
| Sep 30, 2023 | 69.22 Bn |
| Jun 30, 2023 | 68.78 Bn |
| Mar 31, 2023 | 68.52 Bn |
| Dec 31, 2022 | 62.28 Bn |
| Sep 30, 2022 | 62.67 Bn |
| Jun 30, 2022 | 61.18 Bn |
| Mar 31, 2022 | 65.82 Bn |
| Dec 31, 2021 | 61.59 Bn |
| Sep 30, 2021 | 61.73 Bn |
Toyota Motor 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=TOYOF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "TOYOF", "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=TOYOF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();