Toyota Motor (TOYOF) Accumulated Expenses (2009 - 2026)
Toyota Motor (TOYOF) posted Accumulated Expenses of $13.64 billion for fiscal Q1 2027 (quarter ended Jun 30, 2026), down 3.6% from $14.14 billion a year earlier but up 1.2% from the prior quarter.
Toyota Motor (TOYOF) Accumulated Expenses (2009 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), Toyota Motor's Accumulated Expenses came in at $13.47 billion, up 12.4% from FY2025.
- Annual Accumulated Expenses shows a five-year compound annual growth rate of 0.4% (FY2021 to FY2026).
- In prior fiscal years, Toyota Motor's Accumulated Expenses was $11.98 billion in FY2025 (-7.3%), $12.92 billion in FY2024 (+10.1%), $11.74 billion in FY2023 (-10.3%) and $13.08 billion in FY2022 (-0.9%).
- Quarterly Accumulated Expenses has run from a low of $10.58 billion in fiscal Q3 2023 to a high of $14.14 billion in fiscal Q1 2026 over five years.
- On a year-over-year basis, Accumulated Expenses increased in six of the last eight quarters, with growth averaging 5.9%.
- The strongest year-over-year quarter for Accumulated Expenses in the past five years was fiscal Q1 2026, with growth of 12.5%; the weakest was fiscal Q4 2023, with a decline of 10.3%.
- According to Business Quant data, Accumulated Expenses for the three prior fiscal quarters was $13.47 billion (Q4 2026), $12.87 billion (Q3 2026) and $12.61 billion (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Tesla | 1,216.24 Bn | 1,042.27 Bn | 4.75 Bn |
| 2 | General Motors | 75.35 Bn | -31.16 Bn | 7.33 Bn |
| 3 | Ferrari | 69.70 Bn | 62.19 Bn | 1.18 Bn |
| 4 | Ford Motor | 48.22 Bn | -94.27 Bn | 6.08 Bn |
| 5 | Honda Motor | 44.40 Bn | -105.41 Bn | 8.46 Bn |
| 6 | Toyota Motor | 24.11 Bn | -382.39 Bn | 20.95 Bn |
| 7 | Magna International | 18.41 Bn | 12.44 Bn | 1.61 Bn |
| 8 | Rivian Automotive | 17.72 Bn | -5.59 Bn | 179.00 Mn |
| 9 | Stellantis | 12.89 Bn | -151.76 Bn | 5.55 Bn |
| 10 | Li Auto | 11.86 Bn | -37.05 Bn | 417.98 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 13.64 Bn |
| Mar 31, 2026 | 13.47 Bn |
| Dec 31, 2025 | 12.87 Bn |
| Sep 30, 2025 | 12.61 Bn |
| Jun 30, 2025 | 14.14 Bn |
| Mar 31, 2025 | 11.98 Bn |
| Dec 31, 2024 | 11.78 Bn |
| Sep 30, 2024 | 11.69 Bn |
| Jun 30, 2024 | 12.57 Bn |
| Mar 31, 2024 | 12.58 Bn |
| Dec 31, 2023 | 10.88 Bn |
| Sep 30, 2023 | 11.08 Bn |
| Jun 30, 2023 | 12.48 Bn |
| Mar 31, 2023 | 11.74 Bn |
| Dec 31, 2022 | 10.58 Bn |
| Sep 30, 2022 | 11.47 Bn |
| Jun 30, 2022 | 12.78 Bn |
| Mar 31, 2022 | 13.08 Bn |
| Dec 31, 2021 | 11.07 Bn |
| Sep 30, 2021 | 11.56 Bn |
Toyota Motor Accumulated 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=accumulated-expenses&ticker=TOYOF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=TOYOF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();