Pangaea Logistics Solutions (PANL) Inventory (2013 - 2026)
Pangaea Logistics Solutions (PANL) posted Inventory of $51.1 million for Q2 2026, up 32.4% from $38.58 million a year earlier and up 26.9% from the prior quarter.
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Analysis
Pangaea Logistics Solutions (PANL) Inventory (2013 - 2026) Analysis & Trends
At the end of FY2025, Pangaea Logistics Solutions' Inventory came in at $28.39 million, down 13.6% from FY2024.
- Annual Inventory shows a five-year compound annual growth rate of 12.2% (FY2020 to FY2025).
- In prior years, Pangaea Logistics Solutions' Inventory was $32.85 million in FY2024 (+98.4%), $16.56 million in FY2023 (-43.1%), $29.1 million in FY2022 (+7.2%) and $27.15 million in FY2021 (+70.0%).
- The Q2 2026 figure stands as the highest quarterly Inventory since Q2 2022.
- On a year-over-year basis, Inventory increased in seven of the last eight quarters, with growth averaging 32.7%.
- The strongest year-over-year quarter for Inventory in the past five years was Q1 2022, with growth of 150.9%; the weakest was Q2 2023, with a decline of 48.0%.
- According to Business Quant data, Inventory for the three prior quarters was $40.26 million (Q1 2026), $28.39 million (Q4 2025) and $36.14 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 162.85 Bn | 157.37 Bn | - | 919.00 Mn |
| 2 | Csx | 86.62 Bn | 82.84 Bn | - | 406.00 Mn |
| 3 | Canadian Pacific Kansas City | 76.11 Bn | 75.83 Bn | - | 391.83 Mn |
| 4 | United Parcel Service | 70.66 Bn | 47.58 Bn | - | - |
| 5 | Norfolk Southern | 70.32 Bn | 64.96 Bn | - | 327.00 Mn |
| 6 | Fedex | 68.53 Bn | 34.48 Bn | - | - |
| 7 | Delta Air Lines | 55.25 Bn | 37.43 Bn | - | 2.56 Bn |
| 8 | Old Dominion Freight Line | 36.69 Bn | 35.95 Bn | - | - |
| 9 | Ryanair Holdings | 28.78 Bn | 12.78 Bn | 3.13 Bn | 5.35 Mn |
| 10 | Pangaea Logistics Solutions | 524.44 Mn | 178.00 Mn | - | 51.10 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 51.10 Mn |
| Mar 31, 2026 | 40.26 Mn |
| Dec 31, 2025 | 28.39 Mn |
| Sep 30, 2025 | 36.14 Mn |
| Jun 30, 2025 | 38.58 Mn |
| Mar 31, 2025 | 36.03 Mn |
| Dec 31, 2024 | 32.85 Mn |
| Sep 30, 2024 | 26.74 Mn |
| Jun 30, 2024 | 28.89 Mn |
| Mar 31, 2024 | 22.15 Mn |
| Dec 31, 2023 | 16.56 Mn |
| Sep 30, 2023 | 26.35 Mn |
| Jun 30, 2023 | 27.45 Mn |
| Mar 31, 2023 | 26.73 Mn |
| Dec 31, 2022 | 29.10 Mn |
| Sep 30, 2022 | 30.65 Mn |
| Jun 30, 2022 | 52.82 Mn |
| Mar 31, 2022 | 39.21 Mn |
| Dec 31, 2021 | 27.15 Mn |
| Sep 30, 2021 | 24.88 Mn |
API Access
Pangaea Logistics Solutions Inventory 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=inventory&ticker=PANL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "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=inventory&ticker=PANL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();