Dana (DAN) Buildings (2010 - 2025)
Dana's Buildings came in at $445 million for Q4 2025, up 14.7% from $388 million a year earlier.
Analysis
Dana (DAN) Buildings (2010 - 2025) Analysis & Trends
Going back to Q4 2010, Dana's Buildings data covers 16 quarters.
- Buildings carries a five-year compound annual growth rate of -7.2% (FY2020 to FY2025).
- Going back by year, Buildings was $388 million in FY2024 (-32.6%), $576 million in FY2023 (+6.9%), $539 million in FY2022 (-8.6%) and $590 million in FY2021 (-8.7%).
- The Q4 2025 figure represents the highest quarterly Buildings since Q4 2023.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Caterpillar | 340.33 Bn | 312.03 Bn | 7.76 Bn |
| 2 | Amphenol | 195.04 Bn | 189.62 Bn | 3.55 Bn |
| 3 | Deere | 171.72 Bn | 139.81 Bn | 4.66 Bn |
| 4 | Eaton | 152.74 Bn | 149.93 Bn | 2.86 Bn |
| 5 | Parker-Hannifin | 120.82 Bn | 118.95 Bn | 2.25 Bn |
| 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 |
| 9 | Illinois Tool Works | 79.34 Bn | 75.90 Bn | 1.90 Bn |
| 10 | Dana | 3.13 Bn | 1.44 Bn | 210.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 445.00 Mn |
| Dec 31, 2024 | 388.00 Mn |
| Dec 31, 2023 | 576.00 Mn |
| Dec 31, 2022 | 539.00 Mn |
| Dec 31, 2021 | 590.00 Mn |
| Dec 31, 2020 | 646.00 Mn |
| Dec 31, 2019 | 621.00 Mn |
| Dec 31, 2018 | 552.00 Mn |
| Dec 31, 2017 | 518.00 Mn |
| Dec 31, 2016 | 435.00 Mn |
| Dec 31, 2015 | 405.00 Mn |
| Dec 31, 2014 | 420.00 Mn |
| Dec 31, 2013 | 449.00 Mn |
| Dec 31, 2012 | 446.00 Mn |
| Dec 31, 2011 | 441.00 Mn |
| Dec 31, 2010 | 430.00 Mn |
API Access
Dana Buildings 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=buildings&ticker=DAN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "buildings", "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=buildings&ticker=DAN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();