Toyota Motor (TOYOF) Accumulated Expenses (2009 - 2026)
Toyota Motor's (TOYOF) quarterly Accumulated Expenses came in at $13.6 billion in Q2 2026, down 3.56% year-over-year from $14.1 billion in Q2 2025, and up 1.22% quarter-over-quarter from $13.5 billion in Q1 2026.
Toyota Motor (TOYOF) Accumulated Expenses (2009 - 2026) Analysis & Trends
Toyota Motor (TOYOF) has reported Accumulated Expenses for 18 consecutive years, with $13.6 billion the latest figure, recorded in Q2 2026.
- On a quarterly basis, Accumulated Expenses fell 3.56% year-over-year to $13.6 billion in Q2 2026; TTM through Jun 2026 was $13.6 billion, a 3.56% decrease from a year earlier, with the FY2026 full-year figure at $13.5 billion, up 12.43% from the prior year.
- Accumulated Expenses was $13.6 billion for Q2 2026 at Toyota Motor, up from $13.5 billion in the prior quarter.
- Over five years, Accumulated Expenses peaked at $14.1 billion in Q2 2025 and troughed at $10.6 billion in Q4 2022.
- A 5-year average of $12.3 billion and a median of $12.5 billion in 2023 frame the typical range for Accumulated Expenses.
- Across the five-year window, Accumulated Expenses fell 10.3% in 2023 and climbed 12.47% in 2025, its largest moves.
- Over 5 years, Accumulated Expenses stood at $10.6 billion in 2022, then advanced by 2.83% to $10.9 billion in 2023, then climbed by 8.31% to $11.8 billion in 2024, then climbed by 9.21% to $12.9 billion in 2025, then gained by 5.98% to $13.6 billion in 2026.
- The last three Accumulated Expenses figures came in at $13.6 billion (Q2 2026), $13.5 billion (Q1 2026), and $12.9 billion (Q4 2025), per Business Quant data.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Tesla | 1,226.50 Bn | 1,183.58 Bn | 4.75 Bn |
| 2 | Toyota Motor | 250.64 Bn | 172.66 Bn | 12.27 Bn |
| 3 | Ferrari | 153.43 Bn | 151.68 Bn | 1.18 Bn |
| 4 | Honda Motor | 147.05 Bn | 108.59 Bn | 8.46 Bn |
| 5 | General Motors | 73.24 Bn | 50.16 Bn | 7.33 Bn |
| 6 | Ford Motor | 51.31 Bn | 20.01 Bn | 6.08 Bn |
| 7 | Rivian Automotive | 20.62 Bn | 15.33 Bn | 179.00 Mn |
| 8 | Magna International | 17.88 Bn | 16.79 Bn | 1.61 Bn |
| 9 | Stellantis | 14.02 Bn | -29.10 Bn | 5.55 Bn |
| 10 | Li Auto | 11.82 Bn | -670.23 Mn | 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();