Toyota Motor (TOYOF) Gains from Sales and Divestitures (2009 - 2020)
Toyota Motor (TOYOF) reported Gains from Sales and Divestitures of $292.34 million for fiscal Q4 2020 (quarter ended Mar 31, 2020), up 288.9% from $75.16 million a year earlier.
Toyota Motor (TOYOF) Gains from Sales and Divestitures (2009 - 2020) Analysis & Trends
For FY2020 (ended Mar 31, 2020), Toyota Motor posted Gains from Sales and Divestitures of $522.71 million, up 60.3% from FY2019.
- Gains from Sales and Divestitures has increased for three consecutive fiscal years, with a five-year compound annual growth rate of 14.5% (FY2015 to FY2020).
- By fiscal year, Gains from Sales and Divestitures came in at $326.11 million in FY2019 (+0.2%), $325.56 million in FY2018 (+20.7%), $269.83 million in FY2017 (-6.6%) and $288.96 million in FY2016 (+8.8%).
- The fiscal Q4 2020 figure ranks as the highest quarterly Gains from Sales and Divestitures in data going back to fiscal Q4 2009.
- Year over year, Gains from Sales and Divestitures gained in six of the last eight quarters, with growth averaging 33.8%.
- The high point for year-over-year Gains from Sales and Divestitures in five years was fiscal Q4 2020 (growth of 288.9%); the low point was fiscal Q3 2020 (a decline of 95.4%).
- Per Business Quant data, the three fiscal quarters before Q4 2020 came in at $3.49 million (Q3 2020), $76.52 million (Q2 2020) and $149.99 million (Q1 2020).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (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 |
| 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 |
|---|---|
| Mar 31, 2020 | 292.34 Mn |
| Dec 31, 2019 | 3.49 Mn |
| Sep 30, 2019 | 76.52 Mn |
| Jun 30, 2019 | 149.99 Mn |
| Mar 31, 2019 | 75.16 Mn |
| Dec 31, 2018 | 75.66 Mn |
| Sep 30, 2018 | 75.74 Mn |
| Jun 30, 2018 | 97.73 Mn |
| Mar 31, 2018 | 55.32 Mn |
| Dec 31, 2017 | 94.25 Mn |
| Sep 30, 2017 | 73.21 Mn |
| Jun 30, 2017 | 94.80 Mn |
| Mar 31, 2017 | 89.55 Mn |
| Dec 31, 2016 | 76.08 Mn |
| Sep 30, 2016 | 49.56 Mn |
| Jun 30, 2016 | 65.92 Mn |
| Mar 31, 2016 | 83.33 Mn |
| Dec 31, 2015 | 46.47 Mn |
| Sep 30, 2015 | 110.64 Mn |
| Jun 30, 2015 | 37.61 Mn |
Toyota Motor Gains from Sales and Divestitures 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=gains-from-sales-and-divestitures&ticker=TOYOF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "gains-from-sales-and-divestitures", "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=gains-from-sales-and-divestitures&ticker=TOYOF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();