GXO Logistics (GXO) Cash from Operations (2020 - 2026)
GXO Logistics' Cash from Operations was $76 million in Q2 2026, compared with $3 million a year earlier and up 145.2% from the prior quarter.
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Analysis
GXO Logistics (GXO) Cash from Operations (2020 - 2026) Analysis & Trends
On a trailing twelve-month basis, GXO Logistics' Cash from Operations was $509 million through Jun 30, 2026, up 22.4% year-over-year; for FY2025, it was $434 million, down 20.9% from FY2024.
- Cash from Operations shows a five-year compound annual growth rate of 5.4% (FY2020 to FY2025).
- In earlier years, Cash from Operations was $549 million in FY2024 (-1.6%), $558 million in FY2023 (+3.0%), $542 million in FY2022 (+19.1%) and $455 million in FY2021 (+36.6%).
- Quarterly Cash from Operations has moved between $3 million (Q2 2025) and $243 million (Q3 2023) over five years.
- Compared with a year earlier, Cash from Operations was higher in two of the last seven quarters, with an average decline of 22.3%.
- The best year-over-year quarter for Cash from Operations over five years was Q3 2023 (growth of 109.5%); the worst was Q2 2025 (a decline of 97.4%).
- Per Business Quant data, GXO's Cash from Operations in the three quarters before Q2 2026 was $31 million (Q1 2026), $170 million (Q4 2025) and $232 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash from Ops. (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 171.05 Bn | 165.57 Bn | - | 3.08 Bn |
| 2 | Csx | 89.13 Bn | 85.34 Bn | - | 1.33 Bn |
| 3 | United Parcel Service | 83.07 Bn | 59.96 Bn | - | 859.00 Mn |
| 4 | Canadian Pacific Kansas City | 77.35 Bn | 76.37 Bn | - | 1.25 Bn |
| 5 | Norfolk Southern | 72.91 Bn | 67.55 Bn | - | 1.05 Bn |
| 6 | Fedex | 69.74 Bn | 35.69 Bn | - | 3.27 Bn |
| 7 | Delta Air Lines | 48.62 Bn | 30.81 Bn | - | 1.71 Bn |
| 8 | Old Dominion Freight Line | 38.80 Bn | 38.06 Bn | - | 272.70 Mn |
| 9 | United Airlines Holdings | 30.80 Bn | -25.57 Bn | - | 1.61 Bn |
| 10 | GXO Logistics | 5.47 Bn | 2.72 Bn | 508.00 Mn | 76.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 76.00 Mn |
| Mar 31, 2026 | 31.00 Mn |
| Dec 31, 2025 | 170.00 Mn |
| Sep 30, 2025 | 232.00 Mn |
| Jun 30, 2025 | 3.00 Mn |
| Mar 31, 2025 | 29.00 Mn |
| Dec 31, 2024 | 186.00 Mn |
| Sep 30, 2024 | 198.00 Mn |
| Jun 30, 2024 | 115.00 Mn |
| Mar 31, 2024 | 50.00 Mn |
| Dec 31, 2023 | 215.00 Mn |
| Sep 30, 2023 | 243.00 Mn |
| Jun 30, 2023 | 61.00 Mn |
| Mar 31, 2023 | 39.00 Mn |
| Dec 31, 2022 | 226.00 Mn |
| Sep 30, 2022 | 116.00 Mn |
| Jun 30, 2022 | 154.00 Mn |
| Mar 31, 2022 | 46.00 Mn |
| Dec 31, 2021 | 204.00 Mn |
| Sep 30, 2021 | 105.00 Mn |
API Access
GXO Logistics Cash from Operations 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-from-operations&ticker=GXO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-from-operations", "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-from-operations&ticker=GXO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();