GXO Logistics (GXO) Tax Provisions (2020 - 2026)
GXO Logistics (GXO) posted Tax Provisions of $21.0 million for Q2 2026, up 75.0% on a QoQ basis from $12.0 million in Q1 2026, and up 40.0% year-over-year from $15.0 million in Q2 2025.
GXO Logistics (GXO) Tax Provisions (2020 - 2026) Analysis & Trends
GXO Logistics has reported Tax Provisions for 7 years, with the latest figure at $21.0 million in Q2 2026.
- On a quarterly basis, Tax Provisions rose 40.0% year-over-year to $21.0 million in Q2 2026; TTM through Jun 2026 was $84.0 million, a 300.0% increase from a year earlier, with the FY2025 full-year figure at $68.0 million, up 750.0% from the prior year.
- Tax Provisions was $21.0 million for Q2 2026 at GXO Logistics, up from $12.0 million in the prior quarter.
- The five-year high for Tax Provisions was $28.0 million in Q3 2025, with the low at -$10.0 million in Q1 2024.
- Average Tax Provisions over 5 years is $11.4 million, with a median of $13.5 million recorded in 2022.
- The sharpest annual moves came in 2022 and 2024: Tax Provisions soared 2000.0% in 2022, then sank 433.33% in 2024.
- Over 5 years, Tax Provisions stood at $13.0 million in 2022, then sank by 138.46% to -$5.0 million in 2023, then soared by 40.0% to -$3.0 million in 2024, then soared by 866.67% to $23.0 million in 2025, then decreased by 8.7% to $21.0 million in 2026.
- The last three Tax Provisions figures came in at $21.0 million (Q2 2026), $12.0 million (Q1 2026), and $23.0 million (Q4 2025), per Business Quant data.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Copart | 27.11 Bn | 23.77 Bn | 732.88 Mn | 100.70 Mn |
| 2 | Expeditors International Of Washington | 24.83 Bn | 23.80 Bn | 1.09 Bn | 91.20 Mn |
| 3 | C. H. Robinson Worldwide | 17.92 Bn | 17.76 Bn | 1.11 Bn | 51.08 Mn |
| 4 | Rb Global | 15.40 Bn | 14.87 Bn | 935.50 Mn | 42.40 Mn |
| 5 | Ryder System | 9.14 Bn | 9.14 Bn | 1.45 Bn | 52.00 Mn |
| 6 | Landstar System | 5.78 Bn | 5.43 Bn | 308.86 Mn | 16.47 Mn |
| 7 | GXO Logistics | 5.27 Bn | 4.53 Bn | 508.00 Mn | 21.00 Mn |
| 8 | Rxo | 3.34 Bn | 3.32 Bn | 302.00 Mn | 1.00 Mn |
| 9 | Hub | 1.98 Bn | 1.89 Bn | 250.84 Mn | 9.59 Mn |
| 10 | Cryoport | 862.04 Mn | 465.34 Mn | 22.82 Mn | 505,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 21.00 Mn |
| Mar 31, 2026 | 12.00 Mn |
| Dec 31, 2025 | 23.00 Mn |
| Sep 30, 2025 | 28.00 Mn |
| Jun 30, 2025 | 15.00 Mn |
| Mar 31, 2025 | 2.00 Mn |
| Dec 31, 2024 | -3.00 Mn |
| Sep 30, 2024 | 7.00 Mn |
| Jun 30, 2024 | 14.00 Mn |
| Mar 31, 2024 | -10.00 Mn |
| Dec 31, 2023 | -5.00 Mn |
| Sep 30, 2023 | 15.00 Mn |
| Jun 30, 2023 | 20.00 Mn |
| Mar 31, 2023 | 3.00 Mn |
| Dec 31, 2022 | 13.00 Mn |
| Sep 30, 2022 | 19.00 Mn |
| Jun 30, 2022 | 21.00 Mn |
| Mar 31, 2022 | 11.00 Mn |
| Dec 31, 2021 | 13.00 Mn |
| Sep 30, 2021 | -31.00 Mn |
GXO Logistics Tax Provisions 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=tax-provisions&ticker=GXO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=GXO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();