Dauch (DCH) Long-Term Debt Repayments (2010 - 2026)
Dauch (DCH) reported Long-Term Debt Repayments of $131.3 million for Q2 2026, compared with $2 million a year earlier and down 91.4% from the prior quarter.
Dauch (DCH) Long-Term Debt Repayments (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Dauch's Long-Term Debt Repayments came in at $2.33 billion; for FY2025, it came in at $676.8 million, up 335.5% from FY2024.
- Long-Term Debt Repayments has a five-year compound annual growth rate of 2.2% (FY2020 to FY2025).
- By year, Long-Term Debt Repayments came in at $155.4 million in FY2024 (-15.9%), $184.8 million in FY2023 (-59.7%), $458.3 million in FY2022 (-55.0%) and $1.02 billion in FY2021 (+67.6%).
- Five-year quarterly Long-Term Debt Repayments spans a low of $2 million in Q2 2025 and a high of $1.53 billion in Q1 2026.
- Year over year, Long-Term Debt Repayments gained in 1 of the last five quarters, with an average decline of 18.0%.
- The high point for year-over-year Long-Term Debt Repayments in five years was Q4 2022 (growth of 405.6%); the low point was Q1 2023 (a decline of 95.5%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $1.53 billion (Q1 2026), $662.1 million (Q4 2025) and $7.2 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,225.85 Bn | 1,051.88 Bn | 4.75 Bn | 411.00 Mn |
| 2 | Ferrari | 70.80 Bn | 63.29 Bn | 1.18 Bn | -28.57 Mn |
| 3 | General Motors | 67.01 Bn | -37.60 Bn | 9.28 Bn | 9.01 Bn |
| 4 | Ford Motor | 47.51 Bn | -94.99 Bn | 6.08 Bn | 11.78 Bn |
| 5 | Honda Motor | 46.05 Bn | -103.76 Bn | 8.46 Bn | - |
| 6 | Toyota Motor | 24.76 Bn | -376.05 Bn | 20.95 Bn | -21.37 Bn |
| 7 | Magna International | 18.17 Bn | 12.19 Bn | 1.61 Bn | -5.00 Mn |
| 8 | Rivian Automotive | 16.05 Bn | -7.26 Bn | 179.00 Mn | - |
| 9 | Stellantis | 12.34 Bn | -152.31 Bn | 5.55 Bn | -3.27 Bn |
| 10 | Dauch | 1.16 Bn | -2.16 Bn | 338.20 Mn | 131.30 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 131.30 Mn |
| Mar 31, 2026 | 1.53 Bn |
| Dec 31, 2025 | 662.10 Mn |
| Sep 30, 2025 | 7.20 Mn |
| Jun 30, 2025 | 2.00 Mn |
| Mar 31, 2025 | 5.50 Mn |
| Dec 31, 2024 | 56.20 Mn |
| Sep 30, 2024 | 51.50 Mn |
| Jun 30, 2024 | 37.60 Mn |
| Mar 31, 2024 | 10.10 Mn |
| Dec 31, 2023 | 95.00 Mn |
| Sep 30, 2023 | 18.60 Mn |
| Jun 30, 2023 | 59.90 Mn |
| Mar 31, 2023 | 11.30 Mn |
| Dec 31, 2022 | 89.50 Mn |
| Sep 30, 2022 | 58.20 Mn |
| Jun 30, 2022 | 58.50 Mn |
| Mar 31, 2022 | 252.10 Mn |
| Dec 31, 2021 | 17.70 Mn |
| Sep 30, 2021 | 743.30 Mn |
Dauch Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=DCH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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=long-term-debt-repayments&ticker=DCH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();