Pangaea Logistics Solutions (PANL) Return on Sales [ROS] (2014 - 2026)
Pangaea Logistics Solutions (PANL) recorded Return on Sales [ROS] of 11.41% in Q2 2026, up 9.08 percentage points from 2.33% a year earlier and up 5.27 percentage points from the prior quarter.
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Analysis
Pangaea Logistics Solutions (PANL) Return on Sales [ROS] (2014 - 2026) Analysis & Trends
On a TTM basis, Pangaea Logistics Solutions' Return on Sales [ROS] came in at 9.32% as of Jun 30, 2026, up 3.04 percentage points year-over-year; for FY2025, it was 6.48%, down 2.55 percentage points from FY2024.
- Annual Return on Sales [ROS] has a five-year change of +1.33 percentage points (FY2020 to FY2025).
- Across earlier years, Return on Sales [ROS] came in at 9.03% in FY2024 (+0.09 pp), 8.94% in FY2023 (-6.14 pp), 15.08% in FY2022 (+4.10 pp) and 10.98% in FY2021 (+5.84 pp).
- The Q2 2026 figure is the highest quarterly Return on Sales [ROS] since Q3 2023.
- On a year-over-year basis, Return on Sales [ROS] rose in four of the last eight quarters, with an average year-over-year change of -0.23 percentage points.
- Peak year-over-year performance for Return on Sales [ROS] in the last five years was a gain of 9.08 percentage points in Q2 2026, against a drop of 11.96 percentage points in Q2 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at 6.14% (Q1 2026), 9.49% (Q4 2025) and 10.03% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 172.47 Bn | 164.72 Bn | - | 40.89% |
| 2 | United Parcel Service | 92.24 Bn | 69.07 Bn | - | 7.63% |
| 3 | Csx | 90.81 Bn | 86.03 Bn | - | 39.08% |
| 4 | Canadian Pacific Kansas City | 81.61 Bn | 80.64 Bn | - | 35.25% |
| 5 | Fedex | 72.98 Bn | 39.17 Bn | - | 6.20% |
| 6 | Norfolk Southern | 71.87 Bn | 66.34 Bn | - | 32.61% |
| 7 | Delta Air Lines | 57.23 Bn | 39.41 Bn | - | 7.20% |
| 8 | United Airlines Holdings | 36.65 Bn | -21.05 Bn | - | 8.09% |
| 9 | Old Dominion Freight Line | 34.12 Bn | 32.96 Bn | - | 28.46% |
| 10 | Pangaea Logistics Solutions | 486.33 Mn | 42.93 Mn | - | 19.90% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 19.90% |
| Jun 30, 2026 | 11.41% |
| Mar 31, 2026 | 6.14% |
| Dec 31, 2025 | 9.49% |
| Sep 30, 2025 | 10.03% |
| Jun 30, 2025 | 2.33% |
| Mar 31, 2025 | 2.38% |
| Dec 31, 2024 | 10.06% |
| Sep 30, 2024 | 9.80% |
| Jun 30, 2024 | 5.79% |
| Mar 31, 2024 | 10.53% |
| Dec 31, 2023 | 8.04% |
| Sep 30, 2023 | 14.53% |
| Jun 30, 2023 | 6.65% |
| Mar 31, 2023 | 5.71% |
| Dec 31, 2022 | 14.62% |
| Sep 30, 2022 | 16.48% |
| Jun 30, 2022 | 18.61% |
| Mar 31, 2022 | 10.38% |
| Dec 31, 2021 | 13.13% |
API Access
Pangaea Logistics Solutions Return on Sales [ROS] 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-sales-%5Bros%5D&ticker=PANL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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-sales-%5Bros%5D&ticker=PANL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();