Stellantis (STLA) Accumulated Expenses (2022 - 2023)
Stellantis (STLA) recorded Accumulated Expenses of $6.85 billion in Q4 2020, down 8.8% from $7.51 billion a year earlier and down 3.9% from the prior quarter.
Stellantis (STLA) Accumulated Expenses (2022 - 2023) Analysis & Trends
At the end of FY2020, Stellantis reported Accumulated Expenses of $6.56 billion, down 13.7% from FY2019.
- Annual Accumulated Expenses has a five-year compound annual growth rate of -5.3% (FY2015 to FY2020).
- Across earlier years, Accumulated Expenses came in at $7.6 billion in FY2019 (-5.6%), $8.05 billion in FY2018, -$266.52 million in FY2017 and $8.65 billion in FY2016 (+0.5%).
- Quarterly Accumulated Expenses has ranged from -$277.87 million in Q4 2017 to $10.65 billion in Q2 2018 over the past five years.
- On a year-over-year basis, Accumulated Expenses has declined for eight consecutive quarters, with an average decline of 15.7% over the last eight quarters.
- Peak year-over-year performance for Accumulated Expenses in the last five years was growth of 17.7% in Q1 2018, against a decline of 29.0% in Q2 2020 at the low end.
- Per Business Quant, the preceding three quarters came in at $7.13 billion (Q3 2020), $6.43 billion (Q2 2020) and $6.6 billion (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 |
Stellantis Accumulated Expenses 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=accumulated-expenses&ticker=STLA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "STLA", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=accumulated-expenses&ticker=STLA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();