C. H. Robinson Worldwide (CHRW) Change in Taxes (2009 - 2026)
C. H. Robinson Worldwide (CHRW) posted Change in Taxes of $13.36 million for Q3 2026, down 28.0% from $18.55 million a year earlier.
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Analysis
C. H. Robinson Worldwide (CHRW) Change in Taxes (2009 - 2026) Analysis & Trends
For the trailing twelve months through Sep 30, 2026, Change in Taxes at C. H. Robinson Worldwide was $32 million, down 41.1% year-over-year; for FY2025, it was $64.66 million, up 315.9% from FY2024.
- Annual Change in Taxes shows a five-year compound annual growth rate of 4.5% (FY2020 to FY2025).
- In prior years, C. H. Robinson Worldwide's Change in Taxes was $15.55 million in FY2024, -$2.28 million in FY2023, -$69.82 million in FY2022 and $72.67 million in FY2021 (+40.0%).
- Quarterly Change in Taxes has run from a low of -$103.47 million in Q2 2022 to a high of $66.27 million in Q4 2021 over five years.
- On a year-over-year basis, Change in Taxes increased in four of the last five quarters, with growth averaging 139.3%.
- The strongest year-over-year quarter for Change in Taxes in the past five years was Q1 2025, with growth of 437.3%; the weakest was Q3 2026, with a decline of 28.0%.
- According to Business Quant data, Change in Taxes for the three prior quarters was -$16.66 million (Q2 2026), $20.06 million (Q1 2026) and $15.24 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 176.70 Bn | 168.95 Bn | - | -12.00 Mn |
| 2 | Csx | 93.70 Bn | 88.93 Bn | - | 16.00 Mn |
| 3 | United Parcel Service | 83.47 Bn | 60.32 Bn | - | - |
| 4 | Canadian Pacific Kansas City | 81.52 Bn | 81.24 Bn | - | - |
| 5 | Fedex | 74.96 Bn | 41.16 Bn | - | - |
| 6 | Norfolk Southern | 73.93 Bn | 68.39 Bn | - | - |
| 7 | Delta Air Lines | 56.18 Bn | 38.36 Bn | - | - |
| 8 | United Airlines Holdings | 35.90 Bn | -21.80 Bn | - | - |
| 9 | Old Dominion Freight Line | 35.24 Bn | 34.09 Bn | - | - |
| 10 | C. H. Robinson Worldwide | 14.88 Bn | 14.21 Bn | 808.43 Mn | 13.36 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 13.36 Mn |
| Jun 30, 2026 | -16.66 Mn |
| Mar 31, 2026 | 20.06 Mn |
| Dec 31, 2025 | 15.24 Mn |
| Sep 30, 2025 | 18.55 Mn |
| Jun 30, 2025 | 11.42 Mn |
| Mar 31, 2025 | 19.45 Mn |
| Dec 31, 2024 | 4.91 Mn |
| Sep 30, 2024 | 10.69 Mn |
| Jun 30, 2024 | -3.68 Mn |
| Mar 31, 2024 | 3.62 Mn |
| Dec 31, 2023 | -5.42 Mn |
| Sep 30, 2023 | -177,000.00 |
| Jun 30, 2023 | 3.35 Mn |
| Mar 31, 2023 | -40,000.00 |
| Dec 31, 2022 | -45.62 Mn |
| Sep 30, 2022 | 30.76 Mn |
| Jun 30, 2022 | -103.47 Mn |
| Mar 31, 2022 | 48.50 Mn |
| Dec 31, 2021 | 66.27 Mn |
API Access
C. H. Robinson Worldwide Change in Taxes 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=change-in-taxes&ticker=CHRW&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-taxes", "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=change-in-taxes&ticker=CHRW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();