Dauch (DCH) Inventory (2010 - 2026)
Dauch (DCH) posted Inventory of $1 billion for Q2 2026, up 122.7% from $449.1 million a year earlier but down 0.4% from the prior quarter.
Analysis
Dauch (DCH) Inventory (2010 - 2026) Analysis & Trends
At the end of FY2025, Dauch's Inventory came in at $466.4 million, up 5.4% from FY2024.
- Annual Inventory shows a five-year compound annual growth rate of 7.6% (FY2020 to FY2025).
- In prior years, Dauch's Inventory was $442.5 million in FY2024 (-8.4%), $482.9 million in FY2023 (+4.1%), $463.9 million in FY2022 (+13.0%) and $410.4 million in FY2021 (+27.0%).
- Quarterly Inventory has run from a low of $410.4 million in Q4 2021 to a high of $1 billion in Q1 2026 over five years.
- On a year-over-year basis, Inventory has increased in each of the last three quarters, with growth averaging 29.2% over the last eight quarters.
- The strongest year-over-year quarter for Inventory in the past five years was Q1 2026, with growth of 131.2%; the weakest was Q1 2025, with a decline of 8.9%.
- According to Business Quant data, Inventory for the three prior quarters was $1 billion (Q1 2026), $466.4 million (Q4 2025) and $442.4 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,157.07 Bn | 991.62 Bn | 4.75 Bn | 13.75 Bn |
| 2 | Toyota Motor | 254.94 Bn | -151.80 Bn | 20.95 Bn | 34.32 Bn |
| 3 | Ferrari | 147.58 Bn | 140.03 Bn | 1.18 Bn | 1.44 Bn |
| 4 | Honda Motor | 147.32 Bn | 14.70 Bn | 8.46 Bn | 16.00 Bn |
| 5 | General Motors | 70.77 Bn | -34.10 Bn | 7.33 Bn | 15.95 Bn |
| 6 | Ford Motor | 48.49 Bn | -93.97 Bn | 6.08 Bn | 16.95 Bn |
| 7 | Rivian Automotive | 20.14 Bn | -3.15 Bn | 179.00 Mn | 1.66 Bn |
| 8 | Magna International | 18.12 Bn | 15.68 Bn | 1.61 Bn | 4.01 Bn |
| 9 | Stellantis | 13.39 Bn | -152.61 Bn | 5.55 Bn | 27.88 Bn |
| 10 | Dauch | 1.22 Bn | -2.09 Bn | 338.20 Mn | 1.00 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.00 Bn |
| Mar 31, 2026 | 1.00 Bn |
| Dec 31, 2025 | 466.40 Mn |
| Sep 30, 2025 | 442.40 Mn |
| Jun 30, 2025 | 449.10 Mn |
| Mar 31, 2025 | 434.30 Mn |
| Dec 31, 2024 | 442.50 Mn |
| Sep 30, 2024 | 465.60 Mn |
| Jun 30, 2024 | 469.20 Mn |
| Mar 31, 2024 | 476.80 Mn |
| Dec 31, 2023 | 482.90 Mn |
| Sep 30, 2023 | 460.40 Mn |
| Jun 30, 2023 | 477.10 Mn |
| Mar 31, 2023 | 464.60 Mn |
| Dec 31, 2022 | 463.90 Mn |
| Sep 30, 2022 | 446.80 Mn |
| Jun 30, 2022 | 470.80 Mn |
| Mar 31, 2022 | 412.70 Mn |
| Dec 31, 2021 | 410.40 Mn |
| Sep 30, 2021 | 417.90 Mn |
API Access
Dauch Inventory 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=inventory&ticker=DCH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "ticker": "DCH", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=inventory&ticker=DCH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();