Pangaea Logistics Solutions (PANL) Receivables - Net (2013 - 2026)
Pangaea Logistics Solutions (PANL) reported Receivables - Net of $59.15 million for Q2 2026, up 19.9% from $49.33 million a year earlier but down 3.5% from the prior quarter.
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Analysis
Pangaea Logistics Solutions (PANL) Receivables - Net (2013 - 2026) Analysis & Trends
At the end of FY2025, Pangaea Logistics Solutions posted Receivables - Net of $55.85 million, up 31.8% from FY2024.
- Receivables - Net has a five-year compound annual growth rate of 13.9% (FY2020 to FY2025).
- By year, Receivables - Net came in at $42.37 million in FY2024 (-11.5%), $47.89 million in FY2023 (+30.3%), $36.76 million in FY2022 (-32.3%) and $54.26 million in FY2021 (+86.1%).
- Five-year quarterly Receivables - Net spans a low of $33.44 million in Q1 2023 and a high of $61.28 million in Q1 2026.
- Year over year, Receivables - Net has now increased in each of the last six quarters, with growth averaging 10.9% over the last eight quarters.
- The high point for year-over-year Receivables - Net in five years was Q3 2021 (growth of 107.1%); the low point was Q4 2022 (a decline of 32.3%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $61.28 million (Q1 2026), $55.85 million (Q4 2025) and $45.57 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Union Pacific | 170.61 Bn | 165.14 Bn | - |
| 2 | Csx | 89.25 Bn | 85.46 Bn | - |
| 3 | United Parcel Service | 83.99 Bn | 60.88 Bn | - |
| 4 | Canadian Pacific Kansas City | 77.18 Bn | 76.20 Bn | - |
| 5 | Norfolk Southern | 73.13 Bn | 67.78 Bn | - |
| 6 | Fedex | 71.07 Bn | 37.01 Bn | - |
| 7 | Delta Air Lines | 50.11 Bn | 32.30 Bn | - |
| 8 | Old Dominion Freight Line | 39.22 Bn | 38.48 Bn | - |
| 9 | United Airlines Holdings | 31.88 Bn | -24.49 Bn | - |
| 10 | Pangaea Logistics Solutions | 492.36 Mn | 99.87 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 59.15 Mn |
| Mar 31, 2026 | 61.28 Mn |
| Dec 31, 2025 | 55.85 Mn |
| Sep 30, 2025 | 45.57 Mn |
| Jun 30, 2025 | 49.33 Mn |
| Mar 31, 2025 | 47.92 Mn |
| Dec 31, 2024 | 42.37 Mn |
| Sep 30, 2024 | 44.16 Mn |
| Jun 30, 2024 | 41.33 Mn |
| Mar 31, 2024 | 42.00 Mn |
| Dec 31, 2023 | 47.89 Mn |
| Sep 30, 2023 | 53.50 Mn |
| Jun 30, 2023 | 42.82 Mn |
| Mar 31, 2023 | 33.44 Mn |
| Dec 31, 2022 | 36.76 Mn |
| Sep 30, 2022 | 42.34 Mn |
| Jun 30, 2022 | 41.10 Mn |
| Mar 31, 2022 | 41.37 Mn |
| Dec 31, 2021 | 54.26 Mn |
| Sep 30, 2021 | 41.30 Mn |
API Access
Pangaea Logistics Solutions Receivables - Net 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=receivables-net&ticker=PANL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables-net", "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=receivables-net&ticker=PANL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();