Pangaea Logistics Solutions (PANL) Cash & Equivalents (2013 - 2026)
Pangaea Logistics Solutions (PANL) recorded Cash & Equivalents of $105.68 million in Q2 2026, up 78.3% from $59.25 million a year earlier and up 17.8% from the prior quarter.
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Analysis
Pangaea Logistics Solutions (PANL) Cash & Equivalents (2013 - 2026) Analysis & Trends
At the end of FY2025, Pangaea Logistics Solutions reported Cash & Equivalents of $103.05 million, up 18.7% from FY2024.
- Annual Cash & Equivalents has a five-year compound annual growth rate of 17.1% (FY2020 to FY2025).
- Across earlier years, Cash & Equivalents came in at $86.81 million in FY2024 (-12.4%), $99.04 million in FY2023 (-22.9%), $128.38 million in FY2022 (+128.4%) and $56.21 million in FY2021 (+19.9%).
- The Q2 2026 figure is the highest quarterly Cash & Equivalents since Q1 2023.
- On a year-over-year basis, Cash & Equivalents has increased for four consecutive quarters, with growth averaging 9.4% over the last eight quarters.
- Peak year-over-year performance for Cash & Equivalents in the last five years was growth of 151.6% in Q2 2022, against a decline of 33.3% in Q1 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $89.74 million (Q1 2026), $103.05 million (Q4 2025) and $94.02 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 165.28 Bn | 159.81 Bn | - | 1.61 Bn |
| 2 | Csx | 87.86 Bn | 84.08 Bn | - | 1.01 Bn |
| 3 | Canadian Pacific Kansas City | 75.56 Bn | 75.27 Bn | - | 264.59 Mn |
| 4 | Norfolk Southern | 71.27 Bn | 65.91 Bn | - | 1.07 Bn |
| 5 | United Parcel Service | 69.70 Bn | 46.62 Bn | - | 4.65 Bn |
| 6 | Fedex | 68.71 Bn | 34.65 Bn | - | 13.31 Bn |
| 7 | Delta Air Lines | 55.32 Bn | 37.50 Bn | - | 4.67 Bn |
| 8 | Old Dominion Freight Line | 37.44 Bn | 36.71 Bn | - | 283.94 Mn |
| 9 | United Airlines Holdings | 36.52 Bn | -19.85 Bn | - | 10.17 Bn |
| 10 | Pangaea Logistics Solutions | 551.94 Mn | 205.50 Mn | - | 105.68 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 105.68 Mn |
| Mar 31, 2026 | 89.74 Mn |
| Dec 31, 2025 | 103.05 Mn |
| Sep 30, 2025 | 94.02 Mn |
| Jun 30, 2025 | 59.25 Mn |
| Mar 31, 2025 | 63.95 Mn |
| Dec 31, 2024 | 86.81 Mn |
| Sep 30, 2024 | 93.12 Mn |
| Jun 30, 2024 | 77.95 Mn |
| Mar 31, 2024 | 95.87 Mn |
| Dec 31, 2023 | 99.04 Mn |
| Sep 30, 2023 | 87.36 Mn |
| Jun 30, 2023 | 84.30 Mn |
| Mar 31, 2023 | 129.15 Mn |
| Dec 31, 2022 | 128.38 Mn |
| Sep 30, 2022 | 117.95 Mn |
| Jun 30, 2022 | 102.18 Mn |
| Mar 31, 2022 | 69.92 Mn |
| Dec 31, 2021 | 56.21 Mn |
| Sep 30, 2021 | 49.16 Mn |
API Access
Pangaea Logistics Solutions Cash & Equivalents 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=cash-and-equivalents&ticker=PANL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=PANL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();