Pangaea Logistics Solutions (PANL) Payables (2013 - 2026)
Pangaea Logistics Solutions' Payables came in at $83.62 million for Q2 2026, up 33.8% from $62.52 million a year earlier and up 14.1% from the prior quarter.
Pangaea Logistics Solutions (PANL) Payables (2013 - 2026) Analysis & Trends
At the end of FY2025, Pangaea Logistics Solutions' Payables was $56.26 million, up 14.9% from FY2024.
- Payables carries a five-year compound annual growth rate of 11.0% (FY2020 to FY2025).
- Going back by year, Payables was $48.97 million in FY2024 (+32.4%), $36.98 million in FY2023 (-5.6%), $39.18 million in FY2022 (-20.6%) and $49.37 million in FY2021 (+47.8%).
- The Q2 2026 figure represents the highest quarterly Payables in data going back to Q4 2013.
- Year-over-year, Payables has increased for eight consecutive quarters, with growth averaging 34.8% over the last eight quarters.
- The fastest year-over-year change in Payables over five years came in Q1 2022 (growth of 92.9%), and the weakest in Q1 2023 (a decline of 28.0%).
- Business Quant data shows PANL's Payables at $73.26 million (Q1 2026), $56.26 million (Q4 2025) and $65.38 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Payables (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 162.85 Bn | 157.37 Bn | - | 4.32 Bn |
| 2 | Csx | 86.62 Bn | 82.84 Bn | - | 1.11 Bn |
| 3 | Canadian Pacific Kansas City | 76.11 Bn | 75.83 Bn | - | 2.11 Bn |
| 4 | United Parcel Service | 70.66 Bn | 47.58 Bn | - | 5.98 Bn |
| 5 | Norfolk Southern | 70.32 Bn | 64.96 Bn | - | 1.78 Bn |
| 6 | Fedex | 68.53 Bn | 34.48 Bn | - | 5.07 Bn |
| 7 | Delta Air Lines | 55.25 Bn | 37.43 Bn | - | 7.84 Bn |
| 8 | Old Dominion Freight Line | 36.69 Bn | 35.95 Bn | - | 80.99 Mn |
| 9 | Ryanair Holdings | 28.78 Bn | 12.78 Bn | 3.13 Bn | 828.76 Mn |
| 10 | Pangaea Logistics Solutions | 524.44 Mn | 178.00 Mn | - | 83.62 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 83.62 Mn |
| Mar 31, 2026 | 73.26 Mn |
| Dec 31, 2025 | 56.26 Mn |
| Sep 30, 2025 | 65.38 Mn |
| Jun 30, 2025 | 62.52 Mn |
| Mar 31, 2025 | 44.11 Mn |
| Dec 31, 2024 | 48.97 Mn |
| Sep 30, 2024 | 49.06 Mn |
| Jun 30, 2024 | 40.37 Mn |
| Mar 31, 2024 | 33.92 Mn |
| Dec 31, 2023 | 36.98 Mn |
| Sep 30, 2023 | 43.35 Mn |
| Jun 30, 2023 | 47.51 Mn |
| Mar 31, 2023 | 40.86 Mn |
| Dec 31, 2022 | 39.18 Mn |
| Sep 30, 2022 | 44.69 Mn |
| Jun 30, 2022 | 65.50 Mn |
| Mar 31, 2022 | 56.72 Mn |
| Dec 31, 2021 | 49.37 Mn |
| Sep 30, 2021 | 50.99 Mn |
Pangaea Logistics Solutions Payables 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=payables&ticker=PANL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "payables", "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=payables&ticker=PANL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();