Pangaea Logistics Solutions (PANL) Return on Capital Employed [ROCE] (2015 - 2026)
Pangaea Logistics Solutions (PANL) reported Return on Capital Employed [ROCE] of 8.69% for Q2 2026, up 4.09 percentage points from 4.60% a year earlier and up 2.52 percentage points from the prior quarter.
Pangaea Logistics Solutions (PANL) Return on Capital Employed [ROCE] (2015 - 2026) Analysis & Trends
For FY2025, Pangaea Logistics Solutions posted Return on Capital Employed [ROCE] of 5.09%, down 1.72 percentage points from FY2024.
- Return on Capital Employed [ROCE] has declined for four consecutive years, with a five-year change of -0.47 percentage points (FY2020 to FY2025).
- By year, Return on Capital Employed [ROCE] came in at 6.81% in FY2024 (-0.37 pp), 7.18% in FY2023 (-9.42 pp), 16.60% in FY2022 (-0.29 pp) and 16.89% in FY2021 (+11.33 pp).
- The Q2 2026 figure ranks as the highest quarterly Return on Capital Employed [ROCE] since Q2 2023.
- Year over year, Return on Capital Employed [ROCE] gained in two of the last eight quarters, with an average year-over-year change of -0.90 percentage points.
- The high point for year-over-year Return on Capital Employed [ROCE] in five years was Q2 2022 (a gain of 8.47 percentage points); the low point was Q3 2023 (a drop of 9.29 percentage points).
- Per Business Quant data, the three quarters before Q2 2026 came in at 6.17% (Q1 2026), 5.10% (Q4 2025) and 4.83% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 165.28 Bn | 159.81 Bn | - | 15.69% |
| 2 | Csx | 87.86 Bn | 84.08 Bn | - | 12.29% |
| 3 | Canadian Pacific Kansas City | 75.56 Bn | 75.27 Bn | - | 6.84% |
| 4 | Norfolk Southern | 71.27 Bn | 65.91 Bn | - | 9.67% |
| 5 | United Parcel Service | 69.70 Bn | 46.62 Bn | - | 11.61% |
| 6 | Fedex | 68.71 Bn | 34.65 Bn | - | 7.01% |
| 7 | Delta Air Lines | 55.32 Bn | 37.50 Bn | - | 10.65% |
| 8 | Old Dominion Freight Line | 37.44 Bn | 36.71 Bn | - | 28.03% |
| 9 | United Airlines Holdings | 36.52 Bn | -19.85 Bn | - | 8.86% |
| 10 | Pangaea Logistics Solutions | 551.94 Mn | 205.50 Mn | - | 8.69% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 8.69% |
| Mar 31, 2026 | 6.17% |
| Dec 31, 2025 | 5.10% |
| Sep 30, 2025 | 4.83% |
| Jun 30, 2025 | 4.60% |
| Mar 31, 2025 | 4.93% |
| Dec 31, 2024 | 6.60% |
| Sep 30, 2024 | 7.08% |
| Jun 30, 2024 | 7.97% |
| Mar 31, 2024 | 8.13% |
| Dec 31, 2023 | 7.30% |
| Sep 30, 2023 | 8.63% |
| Jun 30, 2023 | 10.29% |
| Mar 31, 2023 | 14.11% |
| Dec 31, 2022 | 16.18% |
| Sep 30, 2022 | 17.92% |
| Jun 30, 2022 | 18.07% |
| Mar 31, 2022 | 15.28% |
| Dec 31, 2021 | 13.86% |
| Sep 30, 2021 | 11.05% |
Pangaea Logistics Solutions Return on Capital Employed [ROCE] 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=return-on-capital-employed-%5Broce%5D&ticker=PANL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "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=return-on-capital-employed-%5Broce%5D&ticker=PANL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();