Dynagas LNG Partners (DLNG) Selling, General & Administrative (2012 - 2014)
Dynagas LNG Partners (DLNG) reported Selling, General & Administrative of -$1.12 million for FY2025, compared with -$1.44 million in FY2024.
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Analysis
Dynagas LNG Partners (DLNG) Selling, General & Administrative (2012 - 2014) Analysis & Trends
Dating back to FY2011, Dynagas LNG Partners' Selling, General & Administrative record includes 15 years.
- The FY2025 figure ranks as the highest annual Selling, General & Administrative since FY2017.
- According to Business Quant data, Selling, General & Administrative came in at -$1.44 million in FY2024, -$1.33 million in FY2023, -$2.1 million in FY2022 and -$2.35 million in FY2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 165.28 Bn | 159.81 Bn | - | - |
| 2 | Csx | 87.86 Bn | 84.08 Bn | - | - |
| 3 | Canadian Pacific Kansas City | 75.56 Bn | 75.27 Bn | - | - |
| 4 | Norfolk Southern | 71.27 Bn | 65.91 Bn | - | - |
| 5 | United Parcel Service | 69.70 Bn | 46.62 Bn | - | - |
| 6 | Fedex | 68.71 Bn | 34.65 Bn | - | - |
| 7 | Delta Air Lines | 55.32 Bn | 37.50 Bn | - | - |
| 8 | Old Dominion Freight Line | 37.44 Bn | 36.71 Bn | - | - |
| 9 | United Airlines Holdings | 36.52 Bn | -19.85 Bn | - | - |
| 10 | Dynagas LNG Partners | 137.82 Mn | -50.46 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2014 | -260,000.00 |
| Sep 30, 2014 | -367,000.00 |
| Jun 30, 2014 | -441,000.00 |
| Mar 31, 2014 | -580,000.00 |
| Dec 31, 2013 | -281,000.00 |
| Sep 30, 2013 | -85,000.00 |
| Jun 30, 2013 | 2,000.00 |
| Mar 31, 2013 | -23,000.00 |
| Dec 31, 2012 | -278,000.00 |
API Access
Dynagas LNG Partners 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=DLNG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "ticker": "DLNG", "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=DLNG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();