Rxo (RXO) Accumulated Expenses (2021 - 2026)
Rxo's (RXO) quarterly Accumulated Expenses came in at $404.0 million in Q2 2026, up 28.25% on a YoY basis from $315.0 million in Q2 2025, and up 10.08% quarter-over-quarter from $367.0 million in Q1 2026.
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Rxo (RXO) Accumulated Expenses (2021 - 2026) Analysis & Trends
Rxo (RXO) has reported Accumulated Expenses for 6 consecutive years, with $404.0 million the latest figure, recorded in Q2 2026.
- For the quarter ending Q2 2026, Accumulated Expenses rose 28.25% year-over-year to $404.0 million; the trailing twelve-month figure through Jun 2026 stood at $404.0 million (up 28.25% YoY), and the FY2025 full-year result was $397.0 million, up 6.43% from the prior year.
- Accumulated Expenses grew to $404.0 million in Q2 2026 per RXO's latest filing, from $367.0 million in the prior quarter.
- Across five years, Accumulated Expenses topped out at $404.0 million in Q2 2026 and bottomed at $197.0 million in Q2 2024.
- Historically, Accumulated Expenses has averaged $290.6 million across 5 years, with a median of $274.5 million in 2022.
- The sharpest annual moves came in 2023 and 2024: Accumulated Expenses fell 22.27% in 2023, then soared 87.44% in 2024.
- Over 5 years, Accumulated Expenses stood at $256.0 million in 2022, then dropped by 22.27% to $199.0 million in 2023, then jumped by 87.44% to $373.0 million in 2024, then climbed by 6.43% to $397.0 million in 2025, then increased by 1.76% to $404.0 million in 2026.
- According to Business Quant data, Accumulated Expenses over the past three periods registered $404.0 million, $367.0 million, and $397.0 million for Q2 2026, Q1 2026, and Q4 2025 respectively.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Copart | 26.66 Bn | 23.33 Bn | 732.88 Mn |
| 2 | Expeditors International Of Washington | 24.38 Bn | 23.35 Bn | 1.09 Bn |
| 3 | C. H. Robinson Worldwide | 17.52 Bn | 17.36 Bn | 1.11 Bn |
| 4 | Rb Global | 15.43 Bn | 14.90 Bn | 935.50 Mn |
| 5 | Ryder System | 9.07 Bn | 9.07 Bn | 1.45 Bn |
| 6 | Landstar System | 5.72 Bn | 5.38 Bn | 308.86 Mn |
| 7 | GXO Logistics | 5.25 Bn | 4.52 Bn | 508.00 Mn |
| 8 | Rxo | 3.26 Bn | 3.25 Bn | 302.00 Mn |
| 9 | Hub | 1.94 Bn | 1.85 Bn | 250.84 Mn |
| 10 | Cryoport | 889.89 Mn | 493.20 Mn | 22.82 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 404.00 Mn |
| Mar 31, 2026 | 367.00 Mn |
| Dec 31, 2025 | 397.00 Mn |
| Sep 30, 2025 | 321.00 Mn |
| Jun 30, 2025 | 315.00 Mn |
| Mar 31, 2025 | 358.00 Mn |
| Dec 31, 2024 | 373.00 Mn |
| Sep 30, 2024 | 262.00 Mn |
| Jun 30, 2024 | 197.00 Mn |
| Mar 31, 2024 | 220.00 Mn |
| Dec 31, 2023 | 199.00 Mn |
| Sep 30, 2023 | 221.00 Mn |
| Jun 30, 2023 | 210.00 Mn |
| Mar 31, 2023 | 265.00 Mn |
| Dec 31, 2022 | 256.00 Mn |
| Sep 30, 2022 | 284.00 Mn |
| Dec 31, 2021 | 248.00 Mn |
API Access
Rxo Accumulated Expenses 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=accumulated-expenses&ticker=RXO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "RXO", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=accumulated-expenses&ticker=RXO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();