Pangaea Logistics Solutions (PANL) Enterprise Value (2013 - 2026)
Pangaea Logistics Solutions' Enterprise Value was $365.96 million in Q2 2026, up 25.0% from $292.8 million a year earlier but down 12.7% from the prior quarter.
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Analysis
Pangaea Logistics Solutions (PANL) Enterprise Value (2013 - 2026) Analysis & Trends
On a trailing twelve-month basis, Pangaea Logistics Solutions' Enterprise Value was $79.14 million through Jun 30, 2026, up 61.8% year-over-year; for FY2025, it was $389.37 million, up 91.5% from FY2024.
- Enterprise Value shows a five-year compound annual growth rate of 24.4% (FY2020 to FY2025).
- In earlier years, Enterprise Value was $203.34 million in FY2024 (-38.4%), $330.16 million in FY2023 (+103.2%), $162.49 million in FY2022 (-4.3%) and $169.71 million in FY2021 (+29.9%).
- Quarterly Enterprise Value has moved between $148.4 million (Q3 2022) and $419.17 million (Q1 2026) over five years.
- Compared with a year earlier, Enterprise Value has increased for three straight quarters, with growth averaging 16.8% over the last eight quarters.
- The best year-over-year quarter for Enterprise Value over five years was Q4 2023 (growth of 103.2%); the worst was Q4 2024 (a decline of 38.4%).
- Per Business Quant data, PANL's Enterprise Value in the three quarters before Q2 2026 was $419.17 million (Q1 2026), $389.37 million (Q4 2025) and $282.38 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Union Pacific | 162.85 Bn | 157.37 Bn | - |
| 2 | Csx | 86.62 Bn | 82.84 Bn | - |
| 3 | Canadian Pacific Kansas City | 76.11 Bn | 75.83 Bn | - |
| 4 | United Parcel Service | 70.66 Bn | 47.58 Bn | - |
| 5 | Norfolk Southern | 70.32 Bn | 64.96 Bn | - |
| 6 | Fedex | 68.53 Bn | 34.48 Bn | - |
| 7 | Delta Air Lines | 55.25 Bn | 37.43 Bn | - |
| 8 | Old Dominion Freight Line | 36.69 Bn | 35.95 Bn | - |
| 9 | Ryanair Holdings | 28.78 Bn | 12.78 Bn | 3.13 Bn |
| 10 | Pangaea Logistics Solutions | 524.44 Mn | 178.00 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 365.96 Mn |
| Mar 31, 2026 | 419.17 Mn |
| Dec 31, 2025 | 389.37 Mn |
| Sep 30, 2025 | 282.38 Mn |
| Jun 30, 2025 | 292.80 Mn |
| Mar 31, 2025 | 294.76 Mn |
| Dec 31, 2024 | 203.34 Mn |
| Sep 30, 2024 | 292.21 Mn |
| Jun 30, 2024 | 334.58 Mn |
| Mar 31, 2024 | 277.90 Mn |
| Dec 31, 2023 | 330.16 Mn |
| Sep 30, 2023 | 236.53 Mn |
| Jun 30, 2023 | 279.63 Mn |
| Mar 31, 2023 | 193.03 Mn |
| Dec 31, 2022 | 162.49 Mn |
| Sep 30, 2022 | 148.40 Mn |
| Jun 30, 2022 | 184.75 Mn |
| Mar 31, 2022 | 236.55 Mn |
| Dec 31, 2021 | 169.71 Mn |
| Sep 30, 2021 | 232.36 Mn |
API Access
Pangaea Logistics Solutions Enterprise Value 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=enterprise-value&ticker=PANL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=PANL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();