C. H. Robinson Worldwide (CHRW) Other Accumulated Expenses (2011 - 2026)
C. H. Robinson Worldwide (CHRW) posted Other Accumulated Expenses of $182.39 million for Q3 2026, up 8.3% from $168.46 million a year earlier and up 2.1% from the prior quarter.
C. H. Robinson Worldwide (CHRW) Other Accumulated Expenses (2011 - 2026) Analysis & Trends
At the end of FY2025, C. H. Robinson Worldwide's Other Accumulated Expenses came in at $174.96 million, up 0.9% from FY2024.
- Annual Other Accumulated Expenses shows a five-year compound annual growth rate of 2.5% (FY2020 to FY2025).
- In prior years, C. H. Robinson Worldwide's Other Accumulated Expenses was $173.32 million in FY2024 (+8.7%), $159.44 million in FY2023 (-5.1%), $168.01 million in FY2022 (-1.9%) and $171.27 million in FY2021 (+10.9%).
- The Q3 2026 figure stands as the highest quarterly Other Accumulated Expenses since Q3 2022.
- On a year-over-year basis, Other Accumulated Expenses has increased in each of the last eight quarters, with growth averaging 5.3% over the last eight quarters.
- The strongest year-over-year quarter for Other Accumulated Expenses in the past five years was Q3 2022, with growth of 30.4%; the weakest was Q3 2023, with a decline of 16.8%.
- According to Business Quant data, Other Accumulated Expenses for the three prior quarters was $178.66 million (Q2 2026), $175.66 million (Q1 2026) and $174.96 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Union Pacific | 172.47 Bn | 164.72 Bn | - |
| 2 | United Parcel Service | 92.24 Bn | 69.07 Bn | - |
| 3 | Csx | 90.81 Bn | 86.03 Bn | - |
| 4 | Canadian Pacific Kansas City | 81.61 Bn | 80.64 Bn | - |
| 5 | Fedex | 72.98 Bn | 39.17 Bn | - |
| 6 | Norfolk Southern | 71.87 Bn | 66.34 Bn | - |
| 7 | Delta Air Lines | 57.23 Bn | 39.41 Bn | - |
| 8 | United Airlines Holdings | 36.65 Bn | -21.05 Bn | - |
| 9 | Old Dominion Freight Line | 34.12 Bn | 32.96 Bn | - |
| 10 | C. H. Robinson Worldwide | 14.85 Bn | 14.18 Bn | 808.43 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 182.39 Mn |
| Jun 30, 2026 | 178.66 Mn |
| Mar 31, 2026 | 175.66 Mn |
| Dec 31, 2025 | 174.96 Mn |
| Sep 30, 2025 | 168.46 Mn |
| Jun 30, 2025 | 162.73 Mn |
| Mar 31, 2025 | 168.68 Mn |
| Dec 31, 2024 | 173.32 Mn |
| Sep 30, 2024 | 161.87 Mn |
| Jun 30, 2024 | 158.85 Mn |
| Mar 31, 2024 | 162.63 Mn |
| Dec 31, 2023 | 159.44 Mn |
| Sep 30, 2023 | 170.54 Mn |
| Jun 30, 2023 | 159.07 Mn |
| Mar 31, 2023 | 176.29 Mn |
| Dec 31, 2022 | 168.01 Mn |
| Sep 30, 2022 | 205.03 Mn |
| Jun 30, 2022 | 177.65 Mn |
| Mar 31, 2022 | 182.75 Mn |
| Dec 31, 2021 | 171.27 Mn |
C. H. Robinson Worldwide Other 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=other-accumulated-expenses&ticker=CHRW&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "ticker": "CHRW", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=other-accumulated-expenses&ticker=CHRW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();