Toyota Motor (TOYOF) Land & Improvements (2009 - 2026)
Toyota Motor (TOYOF) recorded Land & Improvements of $8.55 billion in fiscal Q1 2027 (quarter ended Jun 30, 2026), down 16.1% from $10.2 billion a year earlier and down 0.7% from the prior quarter.
Toyota Motor (TOYOF) Land & Improvements (2009 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), Toyota Motor reported Land & Improvements of $8.62 billion, down 7.9% from FY2025.
- Annual Land & Improvements has declined for five straight fiscal years, with a five-year compound annual growth rate of -7.5% (FY2021 to FY2026).
- Across earlier fiscal years, Land & Improvements came in at $9.36 billion in FY2025 (-6.4%), $10 billion in FY2024 (-7.3%), $10.78 billion in FY2023 (-8.0%) and $11.72 billion in FY2022 (-7.8%).
- The fiscal Q1 2027 figure is the lowest quarterly Land & Improvements in data going back to fiscal Q4 2009.
- On a year-over-year basis, Land & Improvements has declined for three consecutive quarters, with an average decline of 3.4% over the last eight quarters.
- Peak year-over-year performance for Land & Improvements in the last five years was growth of 9.2% in fiscal Q1 2026, against a decline of 17.1% in fiscal Q3 2023 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $8.62 billion (Q4 2026), $8.72 billion (Q3 2026) and $10.12 billion (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Land & Improvements (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 | 8.42 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 | 8.55 Bn |
| Mar 31, 2026 | 8.62 Bn |
| Dec 31, 2025 | 8.72 Bn |
| Sep 30, 2025 | 10.12 Bn |
| Jun 30, 2025 | 10.20 Bn |
| Mar 31, 2025 | 9.36 Bn |
| Dec 31, 2024 | 9.51 Bn |
| Sep 30, 2024 | 9.53 Bn |
| Jun 30, 2024 | 9.34 Bn |
| Mar 31, 2024 | 9.73 Bn |
| Dec 31, 2023 | 9.70 Bn |
| Sep 30, 2023 | 9.99 Bn |
| Jun 30, 2023 | 10.56 Bn |
| Mar 31, 2023 | 10.78 Bn |
| Dec 31, 2022 | 9.82 Bn |
| Sep 30, 2022 | 10.11 Bn |
| Jun 30, 2022 | 10.74 Bn |
| Mar 31, 2022 | 11.72 Bn |
| Dec 31, 2021 | 11.84 Bn |
| Sep 30, 2021 | 12.18 Bn |
Toyota Motor Land & Improvements 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=land-and-improvements&ticker=TOYOF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "land-and-improvements", "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=land-and-improvements&ticker=TOYOF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();