Toyota Motor (TOYOF) Buildings (2009 - 2026)
Toyota Motor's (TOYOF) quarterly Buildings came in at $41.6 billion in Q2 2026, down 3.94% year-over-year from $43.4 billion in Q2 2025, and up 3.92% quarter-over-quarter from $40.1 billion in Q1 2026.
Toyota Motor (TOYOF) Buildings (2009 - 2026) Analysis & Trends
Toyota Motor (TOYOF) has reported Buildings for 18 consecutive years, with $41.6 billion the latest figure, recorded in Q2 2026.
- On a quarterly basis, Buildings fell 3.94% year-over-year to $41.6 billion in Q2 2026; TTM through Jun 2026 was $41.6 billion, a 3.94% decrease from a year earlier, with the FY2026 full-year figure at $40.1 billion, down 0.91% from the prior year.
- Buildings was $41.6 billion for Q2 2026 at Toyota Motor, up from $40.1 billion in the prior quarter.
- Over five years, Buildings peaked at $45.5 billion in Q1 2022 and troughed at $38.2 billion in Q4 2023.
- A 5-year average of $40.8 billion and a median of $40.1 billion in 2022 frame the typical range for Buildings.
- Across the five-year window, Buildings slipped 14.78% in 2022 and gained 11.86% in 2025, its largest moves.
- Over 5 years, Buildings stood at $38.4 billion in 2022, then slipped by 0.53% to $38.2 billion in 2023, then advanced by 4.41% to $39.9 billion in 2024, then retreated by 0.99% to $39.5 billion in 2025, then rose by 5.35% to $41.6 billion in 2026.
- The last three Buildings figures came in at $41.6 billion (Q2 2026), $40.1 billion (Q1 2026), and $39.5 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 | 41.65 Bn |
| Mar 31, 2026 | 40.08 Bn |
| Dec 31, 2025 | 39.53 Bn |
| Sep 30, 2025 | 43.89 Bn |
| Jun 30, 2025 | 43.35 Bn |
| Mar 31, 2025 | 40.44 Bn |
| Dec 31, 2024 | 39.93 Bn |
| Sep 30, 2024 | 39.31 Bn |
| Jun 30, 2024 | 38.76 Bn |
| Mar 31, 2024 | 39.71 Bn |
| Dec 31, 2023 | 38.24 Bn |
| Sep 30, 2023 | 39.60 Bn |
| Jun 30, 2023 | 41.26 Bn |
| Mar 31, 2023 | 41.31 Bn |
| Dec 31, 2022 | 38.45 Bn |
| Sep 30, 2022 | 40.22 Bn |
| Jun 30, 2022 | 42.30 Bn |
| Mar 31, 2022 | 45.47 Bn |
| Dec 31, 2021 | 45.11 Bn |
| Sep 30, 2021 | 46.10 Bn |
Toyota Motor Buildings 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=buildings&ticker=TOYOF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "buildings", "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=buildings&ticker=TOYOF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();