Dana (DAN) Long-Term Debt Repayments (2010 - 2026)
Dana's Long-Term Debt Repayments was $8 million in Q2 2026, down 96.1% from $206 million a year earlier and down 99.4% from the prior quarter.
Dana (DAN) Long-Term Debt Repayments (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Dana's Long-Term Debt Repayments was $1.35 billion through Jun 30, 2026, up 522.6% year-over-year; for FY2025, it came in at $223 million, up 502.7% from FY2024.
- Long-Term Debt Repayments shows a five-year compound annual growth rate of -14.2% (FY2020 to FY2025).
- In earlier years, Long-Term Debt Repayments was $37 million in FY2024 (-82.3%), $209 million in FY2023 (+770.8%), $24 million in FY2022 (-97.9%) and $1.16 billion in FY2021 (+140.8%).
- Quarterly Long-Term Debt Repayments has moved between $2 million (Q3 2021) and $1.33 billion (Q1 2026) over five years.
- Compared with a year earlier, Long-Term Debt Repayments was higher in three of the last six quarters, with growth averaging 25.9%.
- The best year-over-year quarter for Long-Term Debt Repayments over five years was Q3 2022 (growth of 600.0%); the worst was Q2 2022 (a decline of 99.8%).
- Per Business Quant data, DAN's Long-Term Debt Repayments in the three quarters before Q2 2026 was $1.33 billion (Q1 2026), $7 million (Q4 2025) and $6 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 340.33 Bn | 312.03 Bn | 7.76 Bn | 1.54 Bn |
| 2 | Amphenol | 195.04 Bn | 189.62 Bn | 3.55 Bn | 1.19 Bn |
| 3 | Deere | 171.72 Bn | 139.81 Bn | 4.66 Bn | 2.40 Bn |
| 4 | Eaton | 152.74 Bn | 149.93 Bn | 2.86 Bn | 74.00 Mn |
| 5 | Parker-Hannifin | 120.82 Bn | 118.95 Bn | 2.25 Bn | 10.00 Mn |
| 6 | Emerson Electric | 91.30 Bn | 84.04 Bn | 2.66 Bn | 1.42 Bn |
| 7 | 3M | 90.37 Bn | 71.82 Bn | 2.78 Bn | 650.00 Mn |
| 8 | Vertiv Holdings | 81.71 Bn | 72.33 Bn | 1.23 Bn | - |
| 9 | Illinois Tool Works | 79.34 Bn | 75.90 Bn | 1.90 Bn | - |
| 10 | Dana | 3.13 Bn | 1.44 Bn | 210.00 Mn | 8.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 8.00 Mn |
| Mar 31, 2026 | 1.33 Bn |
| Dec 31, 2025 | 7.00 Mn |
| Sep 30, 2025 | 6.00 Mn |
| Jun 30, 2025 | 206.00 Mn |
| Mar 31, 2025 | 4.00 Mn |
| Dec 31, 2024 | 2.00 Mn |
| Sep 30, 2024 | 5.00 Mn |
| Jun 30, 2024 | 3.00 Mn |
| Mar 31, 2024 | 27.00 Mn |
| Dec 31, 2023 | 2.00 Mn |
| Sep 30, 2023 | 3.00 Mn |
| Jun 30, 2023 | 202.00 Mn |
| Mar 31, 2023 | 2.00 Mn |
| Dec 31, 2022 | 5.00 Mn |
| Sep 30, 2022 | 14.00 Mn |
| Jun 30, 2022 | 2.00 Mn |
| Mar 31, 2022 | 3.00 Mn |
| Dec 31, 2021 | 351.00 Mn |
| Sep 30, 2021 | 2.00 Mn |
Dana 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=DAN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "ticker": "DAN", "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=DAN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();