GXO Logistics (GXO) Return on Capital Employed [ROCE] (2021 - 2026)
GXO Logistics (GXO) recorded Return on Capital Employed [ROCE] of 4.02% in Q2 2026, up 1.40 percentage points from 2.62% a year earlier and unchanged from the prior quarter.
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Analysis
GXO Logistics (GXO) Return on Capital Employed [ROCE] (2021 - 2026) Analysis & Trends
For FY2025, GXO Logistics reported Return on Capital Employed [ROCE] of 3.11%, up 0.08 percentage points from FY2024.
- Annual Return on Capital Employed [ROCE] has a four-year change of -0.19 percentage points (FY2021 to FY2025).
- Across earlier years, Return on Capital Employed [ROCE] came in at 3.03% in FY2024 (-1.69 pp), 4.72% in FY2023 (+0.48 pp), 4.24% in FY2022 (+0.94 pp) and 3.30% in FY2021.
- Quarterly Return on Capital Employed [ROCE] has ranged from 2.49% in Q3 2024 to 4.77% in Q4 2023 over the past five years.
- On a year-over-year basis, Return on Capital Employed [ROCE] has increased for four consecutive quarters, with an average year-over-year change of -0.20 percentage points over the last eight quarters.
- Peak year-over-year performance for Return on Capital Employed [ROCE] in the last five years was a gain of 1.49 percentage points in Q1 2026, against a drop of 2.17 percentage points in Q4 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at 4.02% (Q1 2026), 2.98% (Q4 2025) and 3.16% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 170.80 Bn | 165.33 Bn | - | 15.69% |
| 2 | Csx | 89.17 Bn | 85.38 Bn | - | 12.29% |
| 3 | United Parcel Service | 83.81 Bn | 60.70 Bn | - | 11.61% |
| 4 | Canadian Pacific Kansas City | 77.31 Bn | 76.33 Bn | - | 6.99% |
| 5 | Norfolk Southern | 73.23 Bn | 67.87 Bn | - | 9.67% |
| 6 | Fedex | 70.82 Bn | 36.77 Bn | - | 7.01% |
| 7 | Delta Air Lines | 50.27 Bn | 32.46 Bn | - | 10.05% |
| 8 | Old Dominion Freight Line | 39.09 Bn | 38.36 Bn | - | 28.03% |
| 9 | United Airlines Holdings | 31.83 Bn | -24.55 Bn | - | 8.86% |
| 10 | GXO Logistics | 5.53 Bn | 2.78 Bn | 508.00 Mn | 4.02% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.02% |
| Mar 31, 2026 | 4.02% |
| Dec 31, 2025 | 2.98% |
| Sep 30, 2025 | 3.16% |
| Jun 30, 2025 | 2.62% |
| Mar 31, 2025 | 2.54% |
| Dec 31, 2024 | 2.60% |
| Sep 30, 2024 | 2.49% |
| Jun 30, 2024 | 3.00% |
| Mar 31, 2024 | 3.48% |
| Dec 31, 2023 | 4.77% |
| Sep 30, 2023 | 4.57% |
| Jun 30, 2023 | 4.28% |
| Mar 31, 2023 | 3.67% |
| Dec 31, 2022 | 3.73% |
| Sep 30, 2022 | 3.56% |
| Jun 30, 2022 | 3.51% |
| Mar 31, 2022 | 3.11% |
| Dec 31, 2021 | 3.10% |
| Sep 30, 2021 | 2.84% |
API Access
GXO Logistics 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=GXO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "ticker": "GXO", "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=GXO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();