Dauch (DCH) Cash & Equivalents (2010 - 2026)
Dauch (DCH) recorded Cash & Equivalents of $880.8 million in Q2 2026, up 50.2% from $586.5 million a year earlier but down 12.6% from the prior quarter.
Dauch (DCH) Cash & Equivalents (2010 - 2026) Analysis & Trends
At the end of FY2025, Dauch reported Cash & Equivalents of $708.9 million, up 28.2% from FY2024.
- Annual Cash & Equivalents has increased for three straight years, with a five-year compound annual growth rate of 4.9% (FY2020 to FY2025).
- Across earlier years, Cash & Equivalents came in at $552.9 million in FY2024 (+6.3%), $519.9 million in FY2023 (+1.6%), $511.5 million in FY2022 (-3.5%) and $530.2 million in FY2021 (-4.8%).
- Quarterly Cash & Equivalents has ranged from $465.7 million in Q1 2023 to $1.01 billion in Q1 2026 over the past five years.
- On a year-over-year basis, Cash & Equivalents has increased for seven consecutive quarters, with growth averaging 27.2% over the last eight quarters.
- Peak year-over-year performance for Cash & Equivalents in the last five years was growth of 83.6% in Q1 2026, against a decline of 14.7% in Q2 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $1.01 billion (Q1 2026), $708.9 million (Q4 2025) and $714.1 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,148.52 Bn | 983.08 Bn | 4.75 Bn | 15.22 Bn |
| 2 | Toyota Motor | 242.17 Bn | -164.57 Bn | 20.95 Bn | 64.89 Bn |
| 3 | Ferrari | 145.86 Bn | 138.30 Bn | 1.18 Bn | 1.73 Bn |
| 4 | Honda Motor | 143.38 Bn | 10.76 Bn | 8.46 Bn | 33.23 Bn |
| 5 | General Motors | 67.56 Bn | -37.30 Bn | 7.33 Bn | 20.13 Bn |
| 6 | Ford Motor | 47.24 Bn | -95.23 Bn | 6.08 Bn | 18.60 Bn |
| 7 | Rivian Automotive | 20.35 Bn | -2.94 Bn | 179.00 Mn | 3.59 Bn |
| 8 | Magna International | 17.85 Bn | 15.41 Bn | 1.61 Bn | 1.43 Bn |
| 9 | Stellantis | 12.63 Bn | -153.36 Bn | 5.55 Bn | 39.17 Bn |
| 10 | Dauch | 1.24 Bn | -2.07 Bn | 338.20 Mn | 880.80 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 880.80 Mn |
| Mar 31, 2026 | 1.01 Bn |
| Dec 31, 2025 | 708.90 Mn |
| Sep 30, 2025 | 714.10 Mn |
| Jun 30, 2025 | 586.50 Mn |
| Mar 31, 2025 | 549.20 Mn |
| Dec 31, 2024 | 552.90 Mn |
| Sep 30, 2024 | 542.50 Mn |
| Jun 30, 2024 | 519.90 Mn |
| Mar 31, 2024 | 469.80 Mn |
| Dec 31, 2023 | 519.90 Mn |
| Sep 30, 2023 | 615.60 Mn |
| Jun 30, 2023 | 511.10 Mn |
| Mar 31, 2023 | 465.70 Mn |
| Dec 31, 2022 | 511.50 Mn |
| Sep 30, 2022 | 472.30 Mn |
| Jun 30, 2022 | 501.40 Mn |
| Mar 31, 2022 | 529.90 Mn |
| Dec 31, 2021 | 530.20 Mn |
| Sep 30, 2021 | 500.70 Mn |
Dauch Cash & Equivalents 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=cash-and-equivalents&ticker=DCH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=DCH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();