Nordic American Tankers (NAT) Return on Capital Employed [ROCE] (2009 - 2026)
Nordic American Tankers' Return on Capital Employed [ROCE] came in at 18.98% for Q2 2026, up 13.87 percentage points from 5.12% a year earlier and up 8.22 percentage points from the prior quarter.
Nordic American Tankers (NAT) Return on Capital Employed [ROCE] (2009 - 2026) Analysis & Trends
For FY2025, Nordic American Tankers' Return on Capital Employed [ROCE] was 5.85%, down 3.96 percentage points from FY2024.
- Return on Capital Employed [ROCE] carries a five-year change of -2.59 percentage points (FY2020 to FY2025).
- Going back by year, Return on Capital Employed [ROCE] was 9.80% in FY2024 (-6.00 pp), 15.81% in FY2023 (+10.53 pp), 5.28% in FY2022 (+22.37 pp) and -17.09% in FY2021 (-25.53 pp).
- The Q2 2026 figure represents the highest quarterly Return on Capital Employed [ROCE] since Q2 2023.
- Year-over-year, Return on Capital Employed [ROCE] increased in two of the last eight quarters, with an average year-over-year change of -2.73 percentage points.
- The fastest year-over-year change in Return on Capital Employed [ROCE] over five years came in Q3 2023 (a gain of 27.10 percentage points), and the weakest in Q4 2021 (a drop of 26.37 percentage points).
- Business Quant data shows NAT's Return on Capital Employed [ROCE] at 10.77% (Q1 2026), 5.47% (Q4 2025) and 3.88% (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 161.79 Bn | 156.31 Bn | - | 15.69% |
| 2 | Csx | 86.21 Bn | 82.43 Bn | - | 12.29% |
| 3 | Canadian Pacific Kansas City | 74.26 Bn | 73.97 Bn | - | 6.84% |
| 4 | United Parcel Service | 70.36 Bn | 47.28 Bn | - | 11.61% |
| 5 | Norfolk Southern | 69.74 Bn | 64.38 Bn | - | 9.67% |
| 6 | Fedex | 67.91 Bn | 33.85 Bn | - | 7.01% |
| 7 | Delta Air Lines | 55.33 Bn | 37.51 Bn | - | 10.65% |
| 8 | Old Dominion Freight Line | 36.95 Bn | 36.21 Bn | - | 28.03% |
| 9 | United Airlines Holdings | 36.28 Bn | -20.09 Bn | - | 8.86% |
| 10 | Nordic American Tankers | 1.73 Bn | 1.40 Bn | - | 18.98% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 18.98% |
| Mar 31, 2026 | 10.77% |
| Dec 31, 2025 | 5.47% |
| Sep 30, 2025 | 3.88% |
| Jun 30, 2025 | 5.12% |
| Mar 31, 2025 | 8.79% |
| Dec 31, 2024 | 10.05% |
| Sep 30, 2024 | 13.23% |
| Jun 30, 2024 | 12.73% |
| Mar 31, 2024 | 13.25% |
| Dec 31, 2023 | 16.24% |
| Sep 30, 2023 | 18.70% |
| Jun 30, 2023 | 19.22% |
| Mar 31, 2023 | 16.17% |
| Dec 31, 2022 | 5.18% |
| Sep 30, 2022 | -8.39% |
| Dec 31, 2021 | -17.75% |
| Sep 30, 2021 | -11.89% |
| Jun 30, 2021 | -7.16% |
| Mar 31, 2021 | 1.65% |
Nordic American Tankers 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=NAT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "ticker": "NAT", "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=NAT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();