Toyota Motor (TOYOF) Pension (2009 - 2026)
Toyota Motor's (TOYOF) quarterly Pension came in at $6.3 billion in Q2 2026, down 9.96% year-over-year from $7.0 billion in Q2 2025, and down 3.7% quarter-over-quarter from $6.5 billion in Q1 2026.
Toyota Motor (TOYOF) Pension (2009 - 2026) Analysis & Trends
Toyota Motor (TOYOF) has reported Pension for 18 consecutive years, with $6.3 billion the latest figure, recorded in Q2 2026.
- On a quarterly basis, Pension fell 9.96% year-over-year to $6.3 billion in Q2 2026; TTM through Jun 2026 was $6.3 billion, a 9.96% decrease from a year earlier, with the FY2026 full-year figure at $6.5 billion, down 2.44% from the prior year.
- Pension was $6.3 billion for Q2 2026 at Toyota Motor, down from $6.5 billion in the prior quarter.
- Over five years, Pension peaked at $8.8 billion in Q1 2022 and troughed at $6.3 billion in Q2 2026.
- A 5-year average of $7.4 billion and a median of $7.4 billion in 2024 frame the typical range for Pension.
- Across the five-year window, Pension retreated 20.33% in 2022 and increased 0.71% in 2023, its largest moves.
- Over 5 years, Pension stood at $7.5 billion in 2022, then gained by 0.71% to $7.5 billion in 2023, then declined by 1.37% to $7.4 billion in 2024, then fell by 8.01% to $6.9 billion in 2025, then fell by 8.35% to $6.3 billion in 2026.
- The last three Pension figures came in at $6.3 billion (Q2 2026), $6.5 billion (Q1 2026), and $6.9 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 | 6.28 Bn |
| Mar 31, 2026 | 6.52 Bn |
| Dec 31, 2025 | 6.85 Bn |
| Sep 30, 2025 | 6.98 Bn |
| Jun 30, 2025 | 6.97 Bn |
| Mar 31, 2025 | 6.68 Bn |
| Dec 31, 2024 | 7.45 Bn |
| Sep 30, 2024 | 7.22 Bn |
| Jun 30, 2024 | 7.17 Bn |
| Mar 31, 2024 | 7.27 Bn |
| Dec 31, 2023 | 7.55 Bn |
| Sep 30, 2023 | 7.80 Bn |
| Jun 30, 2023 | 8.07 Bn |
| Mar 31, 2023 | 8.06 Bn |
| Dec 31, 2022 | 7.50 Bn |
| Sep 30, 2022 | 7.82 Bn |
| Jun 30, 2022 | 8.19 Bn |
| Mar 31, 2022 | 8.80 Bn |
| Dec 31, 2021 | 9.41 Bn |
| Sep 30, 2021 | 9.59 Bn |
Toyota Motor Pension 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=pension&ticker=TOYOF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "pension", "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=pension&ticker=TOYOF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();