Toyota Motor (TOYOF) Cash & Equivalents (2009 - 2026)
Toyota Motor (TOYOF) posted Cash & Equivalents of $64.89 billion for fiscal Q1 2027 (quarter ended Jun 30, 2026), up 14.4% from $56.75 billion a year earlier but down 19.6% from the prior quarter.
Toyota Motor (TOYOF) Cash & Equivalents (2009 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), Toyota Motor's Cash & Equivalents came in at $80.72 billion, up 37.1% from FY2025.
- Annual Cash & Equivalents shows a five-year compound annual growth rate of 10.9% (FY2021 to FY2026).
- In prior fiscal years, Toyota Motor's Cash & Equivalents was $58.88 billion in FY2025 (-9.8%), $65.26 billion in FY2024 (+14.8%), $56.83 billion in FY2023 (+8.0%) and $52.61 billion in FY2022 (+9.2%).
- Quarterly Cash & Equivalents has run from a low of $42.63 billion in fiscal Q3 2023 to a high of $80.72 billion in fiscal Q4 2026 over five years.
- On a year-over-year basis, Cash & Equivalents increased in five of the last eight quarters, with growth averaging 7.7%.
- The strongest year-over-year quarter for Cash & Equivalents in the past five years was fiscal Q4 2026, with growth of 37.1%; the weakest was fiscal Q3 2023, with a decline of 16.0%.
- According to Business Quant data, Cash & Equivalents for the three prior fiscal quarters was $80.72 billion (Q4 2026), $51.46 billion (Q3 2026) and $55.06 billion (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,216.24 Bn | 1,042.27 Bn | 4.75 Bn | 15.22 Bn |
| 2 | General Motors | 75.35 Bn | -31.16 Bn | 7.33 Bn | 20.13 Bn |
| 3 | Ferrari | 69.70 Bn | 62.19 Bn | 1.18 Bn | 1.70 Bn |
| 4 | Ford Motor | 48.22 Bn | -94.27 Bn | 6.08 Bn | 18.60 Bn |
| 5 | Honda Motor | 44.40 Bn | -105.41 Bn | 8.46 Bn | 32.71 Bn |
| 6 | Toyota Motor | 24.11 Bn | -382.39 Bn | 20.95 Bn | 63.88 Bn |
| 7 | Magna International | 18.41 Bn | 12.44 Bn | 1.61 Bn | 1.43 Bn |
| 8 | Rivian Automotive | 17.72 Bn | -5.59 Bn | 179.00 Mn | 3.59 Bn |
| 9 | Stellantis | 12.89 Bn | -151.76 Bn | 5.55 Bn | 38.49 Bn |
| 10 | Li Auto | 11.86 Bn | -37.05 Bn | 417.98 Mn | 5.91 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 64.89 Bn |
| Mar 31, 2026 | 80.72 Bn |
| Dec 31, 2025 | 51.46 Bn |
| Sep 30, 2025 | 55.06 Bn |
| Jun 30, 2025 | 56.75 Bn |
| Mar 31, 2025 | 58.88 Bn |
| Dec 31, 2024 | 54.50 Bn |
| Sep 30, 2024 | 51.16 Bn |
| Jun 30, 2024 | 48.80 Bn |
| Mar 31, 2024 | 63.51 Bn |
| Dec 31, 2023 | 51.30 Bn |
| Sep 30, 2023 | 54.88 Bn |
| Jun 30, 2023 | 57.69 Bn |
| Mar 31, 2023 | 56.83 Bn |
| Dec 31, 2022 | 42.63 Bn |
| Sep 30, 2022 | 50.54 Bn |
| Jun 30, 2022 | 51.69 Bn |
| Mar 31, 2022 | 52.61 Bn |
| Dec 31, 2021 | 50.76 Bn |
| Sep 30, 2021 | 45.01 Bn |
Toyota Motor Cash & Equivalents 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=cash-and-equivalents&ticker=TOYOF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=TOYOF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();