Stellantis (STLA) Accumulated Expenses (2013 - 2026)
Stellantis (STLA) recorded quarterly Accumulated Expenses of $6.1 billion in Q2 2026, down 1.43% on a QoQ basis from $6.2 billion in Q1 2026, and down 4.74% YoY from $6.4 billion in Q2 2025.
Stellantis (STLA) Accumulated Expenses (2013 - 2026) Analysis & Trends
Stellantis (STLA) has reported Accumulated Expenses for 14 consecutive years, with $6.1 billion the latest figure, recorded in Q2 2026.
- For the quarter ending Q2 2026, Accumulated Expenses fell 4.74% year-over-year to $6.1 billion; the trailing twelve-month figure through Jun 2026 stood at $6.1 billion (down 4.74% YoY), and the FY2025 full-year result was $6.2 billion, down 3.94% from the prior year.
- Accumulated Expenses was $6.1 billion for Q2 2026 at Stellantis, down from $6.2 billion in the prior quarter.
- The five-year high for Accumulated Expenses was $8.2 billion in Q2 2022, with the low at $5.9 billion in Q4 2023.
- Historically, Accumulated Expenses has averaged $6.5 billion across 5 years, with a median of $6.4 billion in 2024.
- Annual changes were most pronounced in 2022 — Accumulated Expenses slumped 34.39% — and 2024, when it advanced 9.32%.
- Tracing STLA's Accumulated Expenses over 5 years: stood at $6.6 billion in 2022, then dropped by 10.32% to $5.9 billion in 2023, then increased by 9.32% to $6.4 billion in 2024, then fell by 3.94% to $6.2 billion in 2025, then declined by 1.82% to $6.1 billion in 2026.
- Per Business Quant data, the three most recent Accumulated Expenses figures were $6.1 billion in Q2 2026, $6.2 billion in Q1 2026, and $6.2 billion in Q4 2025.
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 | 6.07 Bn |
| Mar 31, 2026 | 6.16 Bn |
| Dec 31, 2025 | 6.18 Bn |
| Jun 30, 2025 | 6.37 Bn |
| Dec 31, 2024 | 6.44 Bn |
| Jun 30, 2024 | 6.42 Bn |
| Dec 31, 2023 | 5.89 Bn |
| Jun 30, 2023 | 6.72 Bn |
| Dec 31, 2022 | 6.57 Bn |
| Jun 30, 2022 | 8.17 Bn |
| Dec 31, 2021 | 10.01 Bn |
| Jun 30, 2021 | 10.37 Bn |
| Dec 31, 2020 | 1.74 Bn |
| Sep 30, 2020 | 9.72 Bn |
| Jun 30, 2020 | 9.42 Bn |
| Mar 31, 2020 | 10.12 Bn |
| Dec 31, 2019 | 10.02 Bn |
| Sep 30, 2019 | 9.36 Bn |
| Jun 30, 2019 | 9.02 Bn |
| Mar 31, 2019 | 9.19 Bn |
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();