Dana (DAN) Non Operating Interest Expenses (2010 - 2026)
Dana (DAN) recorded Non Operating Interest Expenses of $21 million in Q2 2026, down 52.3% from $44 million a year earlier and down 4.5% from the prior quarter.
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Analysis
Dana (DAN) Non Operating Interest Expenses (2010 - 2026) Analysis & Trends
On a TTM basis, Dana's Non Operating Interest Expenses came in at $141 million as of Jun 30, 2026, down 13.0% year-over-year; for FY2025, it was $181 million, up 14.6% from FY2024.
- Annual Non Operating Interest Expenses has increased for three straight years, with a five-year compound annual growth rate of 5.6% (FY2020 to FY2025).
- Across earlier years, Non Operating Interest Expenses came in at $158 million in FY2024 (+3.9%), $152 million in FY2023 (+18.8%), $128 million in FY2022 (-2.3%) and $131 million in FY2021 (-5.1%).
- On a year-over-year basis, Non Operating Interest Expenses rose in four of the last eight quarters, with an average decline of 4.7%.
- Peak year-over-year performance for Non Operating Interest Expenses in the last five years was growth of 28.1% in Q3 2023, against a decline of 52.3% in Q2 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at $22 million (Q1 2026), $51 million (Q4 2025) and $47 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 340.33 Bn | 312.03 Bn | 7.76 Bn | 135.00 Mn |
| 2 | Amphenol | 195.04 Bn | 189.62 Bn | 3.55 Bn | 213.70 Mn |
| 3 | Deere | 171.72 Bn | 139.81 Bn | 4.66 Bn | 710.00 Mn |
| 4 | Eaton | 152.74 Bn | 149.93 Bn | 2.86 Bn | 201.00 Mn |
| 5 | Parker-Hannifin | 120.82 Bn | 118.95 Bn | 2.25 Bn | 95.00 Mn |
| 6 | Emerson Electric | 91.30 Bn | 84.04 Bn | 2.66 Bn | - |
| 7 | 3M | 90.37 Bn | 71.82 Bn | 2.78 Bn | - |
| 8 | Vertiv Holdings | 81.71 Bn | 72.33 Bn | 1.23 Bn | 17.40 Mn |
| 9 | Illinois Tool Works | 79.34 Bn | 75.90 Bn | 1.90 Bn | 79.00 Mn |
| 10 | Dana | 3.13 Bn | 1.44 Bn | 210.00 Mn | 21.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 21.00 Mn |
| Mar 31, 2026 | 22.00 Mn |
| Dec 31, 2025 | 51.00 Mn |
| Sep 30, 2025 | 47.00 Mn |
| Jun 30, 2025 | 44.00 Mn |
| Mar 31, 2025 | 39.00 Mn |
| Dec 31, 2024 | 41.00 Mn |
| Sep 30, 2024 | 38.00 Mn |
| Jun 30, 2024 | 40.00 Mn |
| Mar 31, 2024 | 39.00 Mn |
| Dec 31, 2023 | 38.00 Mn |
| Sep 30, 2023 | 41.00 Mn |
| Jun 30, 2023 | 39.00 Mn |
| Mar 31, 2023 | 34.00 Mn |
| Dec 31, 2022 | 33.00 Mn |
| Sep 30, 2022 | 32.00 Mn |
| Jun 30, 2022 | 32.00 Mn |
| Mar 31, 2022 | 31.00 Mn |
| Dec 31, 2021 | 32.00 Mn |
| Sep 30, 2021 | 31.00 Mn |
API Access
Dana Non Operating Interest 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=non-operating-interest-expenses&ticker=DAN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "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=non-operating-interest-expenses&ticker=DAN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();