Pangaea Logistics Solutions (PANL) Receivables (2013 - 2026)
Pangaea Logistics Solutions' Receivables came in at $59.15 million for Q2 2026, up 19.9% from $49.33 million a year earlier but down 3.5% from the prior quarter.
Powered by 
Analysis
Pangaea Logistics Solutions (PANL) Receivables (2013 - 2026) Analysis & Trends
At the end of FY2025, Pangaea Logistics Solutions' Receivables was $56.43 million, up 23.6% from FY2024.
- Receivables carries a five-year compound annual growth rate of 13.5% (FY2020 to FY2025).
- Going back by year, Receivables was $45.64 million in FY2024 (-11.6%), $51.64 million in FY2023 (+29.1%), $40 million in FY2022 (-33.0%) and $59.72 million in FY2021 (+99.3%).
- The five-year range for quarterly Receivables is $33.44 million (Q1 2023) to $61.28 million (Q1 2026).
- Year-over-year, Receivables has increased for six consecutive quarters, with growth averaging 9.9% over the last eight quarters.
- The fastest year-over-year change in Receivables over five years came in Q4 2021 (growth of 99.3%), and the weakest in Q4 2022 (a decline of 33.0%).
- Business Quant data shows PANL's Receivables at $61.28 million (Q1 2026), $56.43 million (Q4 2025) and $45.57 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 162.85 Bn | 157.37 Bn | - | 2.13 Bn |
| 2 | Csx | 86.62 Bn | 82.84 Bn | - | 1.46 Bn |
| 3 | Canadian Pacific Kansas City | 76.11 Bn | 75.83 Bn | - | 1.63 Bn |
| 4 | United Parcel Service | 70.66 Bn | 47.58 Bn | - | 10.71 Bn |
| 5 | Norfolk Southern | 70.32 Bn | 64.96 Bn | - | 1.18 Bn |
| 6 | Fedex | 68.53 Bn | 34.48 Bn | - | 12.67 Bn |
| 7 | Delta Air Lines | 55.25 Bn | 37.43 Bn | - | 4.31 Bn |
| 8 | Old Dominion Freight Line | 36.69 Bn | 35.95 Bn | - | 618.02 Mn |
| 9 | Ryanair Holdings | 28.78 Bn | 12.78 Bn | 3.13 Bn | 111.35 Mn |
| 10 | Pangaea Logistics Solutions | 524.44 Mn | 178.00 Mn | - | 59.15 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 59.15 Mn |
| Mar 31, 2026 | 61.28 Mn |
| Dec 31, 2025 | 56.43 Mn |
| Sep 30, 2025 | 45.57 Mn |
| Jun 30, 2025 | 49.33 Mn |
| Mar 31, 2025 | 47.92 Mn |
| Dec 31, 2024 | 45.64 Mn |
| Sep 30, 2024 | 44.16 Mn |
| Jun 30, 2024 | 41.33 Mn |
| Mar 31, 2024 | 42.00 Mn |
| Dec 31, 2023 | 51.64 Mn |
| Sep 30, 2023 | 53.50 Mn |
| Jun 30, 2023 | 42.82 Mn |
| Mar 31, 2023 | 33.44 Mn |
| Dec 31, 2022 | 40.00 Mn |
| Sep 30, 2022 | 42.34 Mn |
| Jun 30, 2022 | 41.10 Mn |
| Mar 31, 2022 | 46.21 Mn |
| Dec 31, 2021 | 59.72 Mn |
| Sep 30, 2021 | 41.30 Mn |
API Access
Pangaea Logistics Solutions Receivables 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&ticker=PANL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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&ticker=PANL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();