GXO Logistics (GXO) Cash & Equivalents (2020 - 2026)
GXO Logistics (GXO) recorded Cash & Equivalents of $769 million in Q2 2026, up 275.1% from $205 million a year earlier but down 3.1% from the prior quarter.
Powered by 
Analysis
GXO Logistics (GXO) Cash & Equivalents (2020 - 2026) Analysis & Trends
At the end of FY2025, GXO Logistics reported Cash & Equivalents of $854 million, up 106.8% from FY2024.
- Annual Cash & Equivalents has a five-year compound annual growth rate of 21.1% (FY2020 to FY2025).
- Across earlier years, Cash & Equivalents came in at $413 million in FY2024 (-11.8%), $468 million in FY2023 (-5.5%), $495 million in FY2022 (+48.6%) and $333 million in FY2021 (+1.5%).
- Quarterly Cash & Equivalents has ranged from $205 million in Q2 2025 to $854 million in Q4 2025 over the past five years.
- On a year-over-year basis, Cash & Equivalents has increased for three consecutive quarters, with growth averaging 54.4% over the last eight quarters.
- Peak year-over-year performance for Cash & Equivalents in the last five years was growth of 275.1% in Q2 2026, against a decline of 56.3% in Q2 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $794 million (Q1 2026), $854 million (Q4 2025) and $339 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 174.04 Bn | 166.29 Bn | - | 2.21 Bn |
| 2 | Csx | 93.63 Bn | 88.85 Bn | - | 1.22 Bn |
| 3 | Canadian Pacific Kansas City | 78.71 Bn | 78.42 Bn | - | 257.58 Mn |
| 4 | United Parcel Service | 75.71 Bn | 52.63 Bn | - | 4.65 Bn |
| 5 | Norfolk Southern | 74.09 Bn | 68.55 Bn | - | 1.60 Bn |
| 6 | Fedex | 70.69 Bn | 36.64 Bn | - | 13.31 Bn |
| 7 | Delta Air Lines | 50.49 Bn | 32.68 Bn | - | 3.79 Bn |
| 8 | Old Dominion Freight Line | 37.91 Bn | 37.17 Bn | - | 283.94 Mn |
| 9 | United Airlines Holdings | 31.82 Bn | -25.88 Bn | - | 6.65 Bn |
| 10 | GXO Logistics | 5.55 Bn | 2.83 Bn | 508.00 Mn | 769.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 769.00 Mn |
| Mar 31, 2026 | 794.00 Mn |
| Dec 31, 2025 | 854.00 Mn |
| Sep 30, 2025 | 339.00 Mn |
| Jun 30, 2025 | 205.00 Mn |
| Mar 31, 2025 | 288.00 Mn |
| Dec 31, 2024 | 413.00 Mn |
| Sep 30, 2024 | 548.00 Mn |
| Jun 30, 2024 | 469.00 Mn |
| Mar 31, 2024 | 423.00 Mn |
| Dec 31, 2023 | 468.00 Mn |
| Sep 30, 2023 | 473.00 Mn |
| Jun 30, 2023 | 305.00 Mn |
| Mar 31, 2023 | 426.00 Mn |
| Dec 31, 2022 | 495.00 Mn |
| Sep 30, 2022 | 434.00 Mn |
| Jun 30, 2022 | 384.00 Mn |
| Mar 31, 2022 | 312.00 Mn |
| Dec 31, 2021 | 333.00 Mn |
| Sep 30, 2021 | 275.00 Mn |
API Access
GXO Logistics Cash & Equivalents 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=cash-and-equivalents&ticker=GXO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=GXO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();