GXO Logistics (GXO) Times Interest Earned (2020 - 2026)
GXO Logistics (GXO) posted Times Interest Earned of 2.2 for Q2 2026, up 80.51% on a QoQ basis from 1.22 in Q1 2026, and down 11.01% year-over-year from 2.47 in Q2 2025.
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GXO Logistics (GXO) Times Interest Earned (2020 - 2026) Analysis & Trends
GXO Logistics has reported Times Interest Earned for 7 years, with the latest figure at 2.2 in Q2 2026.
- On a quarterly basis, Times Interest Earned fell 11.01% year-over-year to 2.2 in Q2 2026; TTM through Jun 2026 was 2.48, a 56.03% increase from a year earlier, with the FY2025 full-year figure at 1.84, down 12.96% from the prior year.
- Times Interest Earned was 2.2 for Q2 2026 at GXO Logistics, up from 1.22 in the prior quarter.
- The five-year high for Times Interest Earned was 12.0 in Q3 2022, with the low at 3.0 in Q1 2024.
- Average Times Interest Earned over 5 years is 4.2, with a median of 3.25 recorded in 2024.
- The sharpest annual moves came in 2024 and 2026: Times Interest Earned tumbled 192.86% in 2024, then jumped 169.64% in 2026.
- Over 5 years, Times Interest Earned stood at 7.4 in 2022, then slipped by 2.03% to 7.25 in 2023, then tumbled by 59.03% to 2.97 in 2024, then advanced by 5.48% to 3.13 in 2025, then slipped by 29.79% to 2.2 in 2026.
- The last three Times Interest Earned figures came in at 2.2 (Q2 2026), 1.22 (Q1 2026), and 3.13 (Q4 2025), per Business Quant data.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Times Interest Earned (Qtr) |
|---|---|---|---|---|---|
| 1 | Copart | 27.11 Bn | 23.77 Bn | 732.88 Mn | - |
| 2 | Expeditors International Of Washington | 24.83 Bn | 23.80 Bn | 1.09 Bn | - |
| 3 | C. H. Robinson Worldwide | 17.92 Bn | 17.76 Bn | 1.11 Bn | - |
| 4 | Rb Global | 15.40 Bn | 14.87 Bn | 935.50 Mn | 5.30 |
| 5 | Ryder System | 9.14 Bn | 9.14 Bn | 1.45 Bn | -17.64 |
| 6 | Landstar System | 5.78 Bn | 5.43 Bn | 308.86 Mn | 81.56 |
| 7 | GXO Logistics | 5.27 Bn | 4.53 Bn | 508.00 Mn | 2.20 |
| 8 | Rxo | 3.34 Bn | 3.32 Bn | 302.00 Mn | - |
| 9 | Hub | 1.98 Bn | 1.89 Bn | 250.84 Mn | 13.04 |
| 10 | Cryoport | 862.04 Mn | 465.34 Mn | 22.82 Mn | -19.38 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.20 |
| Mar 31, 2026 | 1.22 |
| Dec 31, 2025 | 3.13 |
| Sep 30, 2025 | 3.37 |
| Jun 30, 2025 | 2.47 |
| Mar 31, 2025 | -1.75 |
| Dec 31, 2024 | 2.97 |
| Sep 30, 2024 | 2.45 |
| Jun 30, 2024 | 3.26 |
| Mar 31, 2024 | -3.00 |
| Dec 31, 2023 | 7.25 |
| Sep 30, 2023 | 6.43 |
| Jun 30, 2023 | 7.07 |
| Mar 31, 2023 | 3.23 |
| Dec 31, 2022 | 7.40 |
| Sep 30, 2022 | 12.00 |
| Jun 30, 2022 | 6.56 |
| Mar 31, 2022 | 9.25 |
| Dec 31, 2021 | 12.60 |
| Sep 30, 2021 | 7.20 |
API Access
GXO Logistics Times Interest Earned 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=times-interest-earned&ticker=GXO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "times-interest-earned", "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=times-interest-earned&ticker=GXO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();