Pangaea Logistics Solutions (PANL) Prepaid Assets (2013 - 2026)
Pangaea Logistics Solutions (PANL) recorded Prepaid Assets of $50.03 million in Q2 2026, up 70.7% from $29.3 million a year earlier but down 0.2% from the prior quarter.
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Analysis
Pangaea Logistics Solutions (PANL) Prepaid Assets (2013 - 2026) Analysis & Trends
At the end of FY2025, Pangaea Logistics Solutions reported Prepaid Assets of $28.48 million, down 5.0% from FY2024.
- Annual Prepaid Assets has a five-year compound annual growth rate of 9.8% (FY2020 to FY2025).
- Across earlier years, Prepaid Assets came in at $29.97 million in FY2024 (+5.7%), $28.34 million in FY2023 (+0.3%), $28.27 million in FY2022 (-39.0%) and $46.35 million in FY2021 (+160.0%).
- Quarterly Prepaid Assets has ranged from $28.01 million in Q1 2025 to $52.83 million in Q3 2021 over the past five years.
- On a year-over-year basis, Prepaid Assets rose in four of the last eight quarters, with growth averaging 14.3%.
- Peak year-over-year performance for Prepaid Assets in the last five years was growth of 160.0% in Q4 2021, against a decline of 39.9% in Q3 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $50.12 million (Q1 2026), $28.48 million (Q4 2025) and $30.26 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Union Pacific | 161.62 Bn | 156.15 Bn | - |
| 2 | Csx | 86.16 Bn | 82.37 Bn | - |
| 3 | Canadian Pacific Kansas City | 74.78 Bn | 74.50 Bn | - |
| 4 | United Parcel Service | 70.01 Bn | 46.94 Bn | - |
| 5 | Norfolk Southern | 69.45 Bn | 64.09 Bn | - |
| 6 | Fedex | 67.46 Bn | 33.40 Bn | - |
| 7 | Delta Air Lines | 54.88 Bn | 37.06 Bn | - |
| 8 | Old Dominion Freight Line | 36.07 Bn | 35.33 Bn | - |
| 9 | Ryanair Holdings | 28.71 Bn | 12.72 Bn | 3.13 Bn |
| 10 | Pangaea Logistics Solutions | 525.10 Mn | 178.66 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 50.03 Mn |
| Mar 31, 2026 | 50.12 Mn |
| Dec 31, 2025 | 28.48 Mn |
| Sep 30, 2025 | 30.26 Mn |
| Jun 30, 2025 | 29.30 Mn |
| Mar 31, 2025 | 28.01 Mn |
| Dec 31, 2024 | 29.97 Mn |
| Sep 30, 2024 | 32.22 Mn |
| Jun 30, 2024 | 33.18 Mn |
| Mar 31, 2024 | 35.53 Mn |
| Dec 31, 2023 | 28.34 Mn |
| Sep 30, 2023 | 31.28 Mn |
| Jun 30, 2023 | 32.36 Mn |
| Mar 31, 2023 | 30.44 Mn |
| Dec 31, 2022 | 28.27 Mn |
| Sep 30, 2022 | 31.74 Mn |
| Jun 30, 2022 | 38.06 Mn |
| Mar 31, 2022 | 47.60 Mn |
| Dec 31, 2021 | 46.35 Mn |
| Sep 30, 2021 | 52.83 Mn |
API Access
Pangaea Logistics Solutions Prepaid Assets 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=prepaid-assets&ticker=PANL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "prepaid-assets", "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=prepaid-assets&ticker=PANL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();