Pangaea Logistics Solutions (PANL) Gains from Sales and Divestitures (2014 - 2023)
Pangaea Logistics Solutions (PANL) reported Gains from Sales and Divestitures of -$1.17 million for Q1 2023.
Analysis
Pangaea Logistics Solutions (PANL) Gains from Sales and Divestitures (2014 - 2023) Analysis & Trends
For FY2018, Pangaea Logistics Solutions posted Gains from Sales and Divestitures of -$860,426.
- By year, Gains from Sales and Divestitures came in at -$9.28 million in FY2017, -$638,638 in FY2015 and $3.95 million in FY2014.
- The Q1 2023 figure ranks as the lowest quarterly Gains from Sales and Divestitures since Q2 2017.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (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 | Pangaea Logistics Solutions | 551.94 Mn | 205.50 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2023 | -1.17 Mn |
| Jun 30, 2022 | -318,032.00 |
| Sep 30, 2020 | -485,580.00 |
| Jun 30, 2020 | -297,475.00 |
| Mar 31, 2020 | 77,990.00 |
| Jun 30, 2018 | 900,000.00 |
| Dec 31, 2017 | -140,134.00 |
| Jun 30, 2017 | -4.84 Mn |
| Mar 31, 2017 | -4.29 Mn |
| Sep 30, 2015 | -71,882.00 |
| Jun 30, 2015 | -477,888.00 |
| Mar 31, 2015 | -88,868.00 |
| Sep 30, 2014 | 1.66 Mn |
| Jun 30, 2014 | 2.29 Mn |
API Access
Pangaea Logistics Solutions Gains from Sales and Divestitures 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=gains-from-sales-and-divestitures&ticker=PANL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "gains-from-sales-and-divestitures", "ticker": "PANL", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=gains-from-sales-and-divestitures&ticker=PANL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();