Dana (DAN) Selling, General & Administrative (2010 - 2026)
Dana (DAN) recorded Selling, General & Administrative of $104 million in Q2 2026, up 5.1% from $99 million a year earlier and up 2.0% from the prior quarter.
Dana (DAN) Selling, General & Administrative (2010 - 2026) Analysis & Trends
On a TTM basis, Dana's Selling, General & Administrative came in at $389 million as of Jun 30, 2026, down 5.4% year-over-year; for FY2025, it came in at $387 million, down 9.8% from FY2024.
- Annual Selling, General & Administrative has declined for three straight years, with a five-year compound annual growth rate of -1.7% (FY2020 to FY2025).
- Across earlier years, Selling, General & Administrative came in at $429 million in FY2024 (-2.5%), $440 million in FY2023 (-11.1%), $495 million in FY2022 (+7.6%) and $460 million in FY2021 (+9.3%).
- The Q2 2026 figure is the highest quarterly Selling, General & Administrative since Q1 2025.
- On a year-over-year basis, Selling, General & Administrative rose in two of the last eight quarters, with growth averaging 20.9%.
- Peak year-over-year performance for Selling, General & Administrative in the last five years was growth of 236.7% in Q4 2024, against a decline of 75.2% in Q4 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $102 million (Q1 2026), $96 million (Q4 2025) and $87 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 322.27 Bn | 293.97 Bn | 7.76 Bn | 2.02 Bn |
| 2 | Amphenol | 179.84 Bn | 174.42 Bn | 3.55 Bn | 939.90 Mn |
| 3 | Deere | 169.63 Bn | 137.73 Bn | 4.66 Bn | 1.22 Bn |
| 4 | Eaton | 141.72 Bn | 138.91 Bn | 2.86 Bn | 1.24 Bn |
| 5 | Parker-Hannifin | 113.11 Bn | 111.24 Bn | 2.25 Bn | 874.00 Mn |
| 6 | 3M | 89.97 Bn | 71.41 Bn | 2.78 Bn | 921.00 Mn |
| 7 | Emerson Electric | 87.56 Bn | 80.30 Bn | 2.66 Bn | 1.34 Bn |
| 8 | Illinois Tool Works | 78.80 Bn | 75.36 Bn | 1.90 Bn | - |
| 9 | Vertiv Holdings | 74.71 Bn | 65.33 Bn | 1.23 Bn | 494.40 Mn |
| 10 | Dana | 3.05 Bn | 1.36 Bn | 210.00 Mn | 104.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 104.00 Mn |
| Mar 31, 2026 | 102.00 Mn |
| Dec 31, 2025 | 96.00 Mn |
| Sep 30, 2025 | 87.00 Mn |
| Jun 30, 2025 | 99.00 Mn |
| Mar 31, 2025 | 105.00 Mn |
| Dec 31, 2024 | 101.00 Mn |
| Sep 30, 2024 | 106.00 Mn |
| Jun 30, 2024 | 108.00 Mn |
| Mar 31, 2024 | 139.00 Mn |
| Dec 31, 2023 | 30.00 Mn |
| Sep 30, 2023 | 126.00 Mn |
| Jun 30, 2023 | 144.00 Mn |
| Mar 31, 2023 | 140.00 Mn |
| Dec 31, 2022 | 121.00 Mn |
| Sep 30, 2022 | 114.00 Mn |
| Jun 30, 2022 | 130.00 Mn |
| Mar 31, 2022 | 130.00 Mn |
| Dec 31, 2021 | 112.00 Mn |
| Sep 30, 2021 | 103.00 Mn |
Dana Selling, General & Administrative 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=selling-general-and-administrative&ticker=DAN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=DAN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();