Solaris Energy Infrastructure (SEI) Dividends Paid - Common and Preferred (2019 - 2026)
Analysis
Solaris Energy Infrastructure (SEI) Dividends Paid - Common and Preferred (2019 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Div Paid (Total) (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 274.19 Bn | 245.49 Bn | 7.35 Bn | 749.00 Mn |
| 2 | Amphenol | 198.54 Bn | 193.24 Bn | 4.02 Bn | 308.00 Mn |
| 3 | Deere | 186.04 Bn | 154.13 Bn | 4.66 Bn | 438.00 Mn |
| 4 | Eaton | 139.66 Bn | 136.59 Bn | 3.11 Bn | 427.00 Mn |
| 5 | Parker-Hannifin | 120.67 Bn | 118.56 Bn | 2.26 Bn | 252.00 Mn |
| 6 | 3M | 97.83 Bn | 79.27 Bn | 2.78 Bn | 403.00 Mn |
| 7 | Emerson Electric | 94.87 Bn | 87.61 Bn | 2.66 Bn | 311.00 Mn |
| 8 | Illinois Tool Works | 81.52 Bn | 78.19 Bn | 1.91 Bn | 458.00 Mn |
| 9 | Vertiv Holdings | 76.99 Bn | 65.83 Bn | 1.64 Bn | 24.00 Mn |
| 10 | Solaris Energy Infrastructure | 3.69 Bn | 2.06 Bn | 167.74 Mn | 7.50 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 7.50 Mn |
| Mar 31, 2026 | 6.92 Mn |
| Dec 31, 2025 | 6.36 Mn |
| Sep 30, 2025 | 5.80 Mn |
| Jun 30, 2025 | 4.90 Mn |
| Mar 31, 2025 | 4.70 Mn |
| Dec 31, 2024 | 3.66 Mn |
| Sep 30, 2024 | 3.70 Mn |
| Jun 30, 2024 | 3.60 Mn |
| Mar 31, 2024 | 3.65 Mn |
| Dec 31, 2023 | 3.67 Mn |
| Sep 30, 2023 | 3.40 Mn |
| Jun 30, 2023 | 3.40 Mn |
| Mar 31, 2023 | 3.70 Mn |
| Dec 31, 2022 | 3.46 Mn |
| Sep 30, 2022 | 3.50 Mn |
| Jun 30, 2022 | 3.40 Mn |
| Mar 31, 2022 | 3.44 Mn |
| Dec 31, 2021 | -993,000.00 |
| Sep 30, 2021 | 4.81 Mn |
API Access
Solaris Energy Infrastructure Dividends Paid - Common and Preferred 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=dividends-paid-common-and-prefferd&ticker=SEI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "dividends-paid-common-and-prefferd", "ticker": "SEI", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=dividends-paid-common-and-prefferd&ticker=SEI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();