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.
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Analysis
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 Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Tesla | 1,160.73 Bn | 982.96 Bn | 5.49 Bn |
| 2 | General Motors | 75.19 Bn | -29.42 Bn | 9.28 Bn |
| 3 | Ferrari | 74.17 Bn | 66.47 Bn | 1.14 Bn |
| 4 | Ford Motor | 49.64 Bn | -84.78 Bn | 7.38 Bn |
| 5 | Honda Motor | 47.63 Bn | -102.18 Bn | 8.46 Bn |
| 6 | Toyota Motor | 28.28 Bn | -349.28 Bn | 19.83 Bn |
| 7 | Rivian Automotive | 19.71 Bn | -2.02 Bn | 176.00 Mn |
| 8 | Magna International | 17.43 Bn | 11.40 Bn | 1.63 Bn |
| 9 | Stellantis | 12.80 Bn | -148.64 Bn | 3.94 Bn |
| 10 | Li Auto | 12.62 Bn | -36.34 Bn | 417.98 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 13.02 Bn |
| Jun 30, 2026 | 13.42 Bn |
| Mar 31, 2026 | 13.22 Bn |
| Dec 31, 2025 | 12.66 Bn |
| Sep 30, 2025 | 12.50 Bn |
| Jun 30, 2025 | 14.16 Bn |
| Mar 31, 2025 | 12.22 Bn |
| Dec 31, 2024 | 11.41 Bn |
| Sep 30, 2024 | 12.21 Bn |
| Jun 30, 2024 | 12.18 Bn |
| Mar 31, 2024 | 12.31 Bn |
| Dec 31, 2023 | 11.37 Bn |
| Sep 30, 2023 | 10.71 Bn |
| Jun 30, 2023 | 11.81 Bn |
| Mar 31, 2023 | 11.65 Bn |
| Dec 31, 2022 | 11.24 Bn |
| Sep 30, 2022 | 10.97 Bn |
| Jun 30, 2022 | 12.10 Bn |
| Mar 31, 2022 | 12.46 Bn |
| Dec 31, 2021 | 10.93 Bn |
API Access
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_KEYimport 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();