Pangaea Logistics Solutions (PANL) Change in Accured Expenses (2014 - 2026)
Pangaea Logistics Solutions' Change in Accured Expenses was $8.65 million in Q2 2026, down 48.6% from $16.83 million a year earlier and down 58.4% from the prior quarter.
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Analysis
Pangaea Logistics Solutions (PANL) Change in Accured Expenses (2014 - 2026) Analysis & Trends
On a trailing twelve-month basis, Pangaea Logistics Solutions' Change in Accured Expenses was $23.33 million through Jun 30, 2026, up 16.2% year-over-year; for FY2025, it came in at $7.47 million, down 36.9% from FY2024.
- In earlier years, Change in Accured Expenses was $11.84 million in FY2024, -$4.08 million in FY2023, -$8.94 million in FY2022 and $16.98 million in FY2021.
- Quarterly Change in Accured Expenses has moved between -$16.24 million (Q3 2022) and $20.78 million (Q1 2026) over five years.
- The best year-over-year quarter for Change in Accured Expenses over five years was Q2 2025 (growth of 157.8%); the worst was Q1 2023 (a decline of 65.0%).
- Per Business Quant data, PANL's Change in Accured Expenses in the three quarters before Q2 2026 was $20.78 million (Q1 2026), -$9.96 million (Q4 2025) and $3.86 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 165.28 Bn | 159.81 Bn | - | 187.00 Mn |
| 2 | Csx | 87.86 Bn | 84.08 Bn | - | - |
| 3 | Canadian Pacific Kansas City | 75.56 Bn | 75.27 Bn | - | - |
| 4 | Norfolk Southern | 71.27 Bn | 65.91 Bn | - | - |
| 5 | United Parcel Service | 69.70 Bn | 46.62 Bn | - | 147.00 Mn |
| 6 | Fedex | 68.71 Bn | 34.65 Bn | - | 1.21 Bn |
| 7 | Delta Air Lines | 55.32 Bn | 37.50 Bn | - | - |
| 8 | Old Dominion Freight Line | 37.44 Bn | 36.71 Bn | - | - |
| 9 | United Airlines Holdings | 36.52 Bn | -19.85 Bn | - | - |
| 10 | Pangaea Logistics Solutions | 551.94 Mn | 205.50 Mn | - | 8.65 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 8.65 Mn |
| Mar 31, 2026 | 20.78 Mn |
| Dec 31, 2025 | -9.96 Mn |
| Sep 30, 2025 | 3.86 Mn |
| Jun 30, 2025 | 16.83 Mn |
| Mar 31, 2025 | -3.26 Mn |
| Dec 31, 2024 | 541,277.00 |
| Sep 30, 2024 | 5.96 Mn |
| Jun 30, 2024 | 6.53 Mn |
| Mar 31, 2024 | -1.19 Mn |
| Dec 31, 2023 | -7.40 Mn |
| Sep 30, 2023 | -2.57 Mn |
| Jun 30, 2023 | 4.20 Mn |
| Mar 31, 2023 | 1.70 Mn |
| Dec 31, 2022 | -5.99 Mn |
| Sep 30, 2022 | -16.24 Mn |
| Jun 30, 2022 | 8.45 Mn |
| Mar 31, 2022 | 4.84 Mn |
| Dec 31, 2021 | -1.50 Mn |
| Sep 30, 2021 | 6.26 Mn |
API Access
Pangaea Logistics Solutions Change in Accured Expenses 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=change-in-accured-expenses&ticker=PANL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "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=change-in-accured-expenses&ticker=PANL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();