Pangaea Logistics Solutions (PANL) Capital Expenditures (2014 - 2026)
Pangaea Logistics Solutions' Capital Expenditures was -$1.13 million in Q2 2026, compared with $165,000 a year earlier.
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Analysis
Pangaea Logistics Solutions (PANL) Capital Expenditures (2014 - 2026) Analysis & Trends
On a trailing twelve-month basis, Pangaea Logistics Solutions' Capital Expenditures was $4.76 million through Jun 30, 2026, down 93.1% year-over-year; for FY2025, it came in at $4.3 million, down 93.8% from FY2024.
- Capital Expenditures shows a five-year compound annual growth rate of 8.2% (FY2020 to FY2025).
- In earlier years, Capital Expenditures was $69.27 million in FY2024 (+154.1%), $27.26 million in FY2023 (-23.7%), $35.74 million in FY2022 (-81.6%) and $194.62 million in FY2021.
- Quarterly Capital Expenditures has moved between -$1.21 million (Q4 2025) and $57.19 million (Q3 2024) over five years.
- The best year-over-year quarter for Capital Expenditures over five years was Q1 2022 (growth of 234.0%); the worst was Q2 2022 (a decline of 99.8%).
- Per Business Quant data, PANL's Capital Expenditures in the three quarters before Q2 2026 was $1.81 million (Q1 2026), -$1.21 million (Q4 2025) and $5.28 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 162.83 Bn | 157.35 Bn | - | 873.00 Mn |
| 2 | Csx | 86.94 Bn | 83.15 Bn | - | 576.00 Mn |
| 3 | Canadian Pacific Kansas City | 76.07 Bn | 75.78 Bn | - | 547.98 Mn |
| 4 | United Parcel Service | 70.39 Bn | 47.31 Bn | - | 693.00 Mn |
| 5 | Norfolk Southern | 70.35 Bn | 64.99 Bn | - | 439.00 Mn |
| 6 | Fedex | 68.01 Bn | 33.95 Bn | - | 1.47 Bn |
| 7 | Delta Air Lines | 55.83 Bn | 38.01 Bn | - | -786.00 Mn |
| 8 | Old Dominion Freight Line | 36.82 Bn | 36.08 Bn | - | 77.04 Mn |
| 9 | Ryanair Holdings | 28.96 Bn | 12.97 Bn | 3.13 Bn | -551.77 Mn |
| 10 | Pangaea Logistics Solutions | 525.75 Mn | 179.31 Mn | - | -1.13 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -1.13 Mn |
| Mar 31, 2026 | 1.81 Mn |
| Dec 31, 2025 | -1.21 Mn |
| Sep 30, 2025 | 5.28 Mn |
| Jun 30, 2025 | 165,000.00 |
| Mar 31, 2025 | 58,000.00 |
| Dec 31, 2024 | 11.57 Mn |
| Sep 30, 2024 | 57.19 Mn |
| Jun 30, 2024 | 368,982.00 |
| Mar 31, 2024 | 130,000.00 |
| Dec 31, 2023 | 46,689.00 |
| Sep 30, 2023 | 177,830.00 |
| Jun 30, 2023 | 26.96 Mn |
| Mar 31, 2023 | 75,291.00 |
| Dec 31, 2022 | 17.37 Mn |
| Sep 30, 2022 | -130,898.00 |
| Jun 30, 2022 | 240,190.00 |
| Mar 31, 2022 | 18.26 Mn |
| Dec 31, 2021 | 34.91 Mn |
| Sep 30, 2021 | 51.17 Mn |
API Access
Pangaea Logistics Solutions Capital Expenditures 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=capital-expenditures&ticker=PANL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=PANL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();