Pangaea Logistics Solutions (PANL) Accounts Payables (2013 - 2026)
Pangaea Logistics Solutions' Accounts Payables was $83.01 million in Q2 2026, up 35.2% from $61.4 million a year earlier and up 14.2% from the prior quarter.
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Analysis
Pangaea Logistics Solutions (PANL) Accounts Payables (2013 - 2026) Analysis & Trends
At the end of FY2025, Accounts Payables at Pangaea Logistics Solutions came in at $54.26 million, up 16.5% from FY2024.
- Accounts Payables shows a five-year compound annual growth rate of 10.9% (FY2020 to FY2025).
- In earlier years, Accounts Payables was $46.58 million in FY2024 (+35.6%), $34.35 million in FY2023 (-10.9%), $38.55 million in FY2022 (-21.6%) and $49.15 million in FY2021 (+51.7%).
- The Q2 2026 figure marks the highest quarterly Accounts Payables in data going back to Q4 2013.
- Compared with a year earlier, Accounts Payables has increased for eight straight quarters, with growth averaging 36.3% over the last eight quarters.
- The best year-over-year quarter for Accounts Payables over five years was Q1 2022 (growth of 92.9%); the worst was Q1 2023 (a decline of 28.8%).
- Per Business Quant data, PANL's Accounts Payables in the three quarters before Q2 2026 was $72.68 million (Q1 2026), $54.26 million (Q4 2025) and $64.24 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Accounts Payables (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 161.62 Bn | 156.15 Bn | - | 4.32 Bn |
| 2 | Csx | 86.16 Bn | 82.37 Bn | - | 1.11 Bn |
| 3 | Canadian Pacific Kansas City | 74.78 Bn | 74.50 Bn | - | 2.11 Bn |
| 4 | United Parcel Service | 70.01 Bn | 46.94 Bn | - | 5.98 Bn |
| 5 | Norfolk Southern | 69.45 Bn | 64.09 Bn | - | 1.78 Bn |
| 6 | Fedex | 67.46 Bn | 33.40 Bn | - | 4.33 Bn |
| 7 | Delta Air Lines | 54.88 Bn | 37.06 Bn | - | 6.74 Bn |
| 8 | Old Dominion Freight Line | 36.07 Bn | 35.33 Bn | - | 80.99 Mn |
| 9 | Ryanair Holdings | 28.71 Bn | 12.72 Bn | 3.13 Bn | 828.76 Mn |
| 10 | Pangaea Logistics Solutions | 525.10 Mn | 178.66 Mn | - | 83.01 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 83.01 Mn |
| Mar 31, 2026 | 72.68 Mn |
| Dec 31, 2025 | 54.26 Mn |
| Sep 30, 2025 | 64.24 Mn |
| Jun 30, 2025 | 61.40 Mn |
| Mar 31, 2025 | 43.06 Mn |
| Dec 31, 2024 | 46.58 Mn |
| Sep 30, 2024 | 47.78 Mn |
| Jun 30, 2024 | 39.26 Mn |
| Mar 31, 2024 | 32.95 Mn |
| Dec 31, 2023 | 34.35 Mn |
| Sep 30, 2023 | 42.37 Mn |
| Jun 30, 2023 | 46.71 Mn |
| Mar 31, 2023 | 40.22 Mn |
| Dec 31, 2022 | 38.55 Mn |
| Sep 30, 2022 | 44.49 Mn |
| Jun 30, 2022 | 65.30 Mn |
| Mar 31, 2022 | 56.53 Mn |
| Dec 31, 2021 | 49.15 Mn |
| Sep 30, 2021 | 50.89 Mn |
API Access
Pangaea Logistics Solutions Accounts 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=accounts-payables&ticker=PANL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accounts-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=accounts-payables&ticker=PANL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();