Old Dominion Freight Line (ODFL) Tax Provisions (2009 - 2026)
Old Dominion Freight Line (ODFL) recorded Tax Provisions of $116.87 million in Q2 2026, up 31.9% from $88.59 million a year earlier and up 47.2% from the prior quarter.
Old Dominion Freight Line (ODFL) Tax Provisions (2009 - 2026) Analysis & Trends
On a TTM basis, Old Dominion Freight Line's Tax Provisions came in at $361.32 million as of Jun 30, 2026, up 6.5% year-over-year; for FY2025, it was $337.61 million, down 9.1% from FY2024.
- Annual Tax Provisions has declined for three straight years, though with a five-year compound annual growth rate of 8.1% (FY2020 to FY2025).
- Across earlier years, Tax Provisions came in at $371.52 million in FY2024 (-9.0%), $408.27 million in FY2023 (-12.0%), $464.19 million in FY2022 (+31.1%) and $354.05 million in FY2021 (+54.8%).
- The Q2 2026 figure is the highest quarterly Tax Provisions since Q3 2022.
- On a year-over-year basis, Tax Provisions rose in two of the last eight quarters, with an average decline of 5.9%.
- Peak year-over-year performance for Tax Provisions in the last five years was growth of 50.6% in Q1 2022, against a decline of 29.7% in Q4 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $79.42 million (Q1 2026), $75.68 million (Q4 2025) and $89.35 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 162.83 Bn | 157.35 Bn | - | 562.00 Mn |
| 2 | Csx | 86.94 Bn | 83.15 Bn | - | 318.00 Mn |
| 3 | Canadian Pacific Kansas City | 76.07 Bn | 75.78 Bn | - | 242.18 Mn |
| 4 | United Parcel Service | 70.39 Bn | 47.31 Bn | - | 157.00 Mn |
| 5 | Norfolk Southern | 70.35 Bn | 64.99 Bn | - | 225.00 Mn |
| 6 | Fedex | 68.01 Bn | 33.95 Bn | - | 510.00 Mn |
| 7 | Delta Air Lines | 55.83 Bn | 38.01 Bn | - | 405.00 Mn |
| 8 | Old Dominion Freight Line | 36.82 Bn | 36.08 Bn | - | 116.87 Mn |
| 9 | Ryanair Holdings | 28.96 Bn | 12.97 Bn | 3.13 Bn | -64.16 Mn |
| 10 | Copart | 25.14 Bn | 9.56 Bn | 645.66 Mn | 77.88 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 116.87 Mn |
| Mar 31, 2026 | 79.42 Mn |
| Dec 31, 2025 | 75.68 Mn |
| Sep 30, 2025 | 89.35 Mn |
| Jun 30, 2025 | 88.59 Mn |
| Mar 31, 2025 | 83.98 Mn |
| Dec 31, 2024 | 72.03 Mn |
| Sep 30, 2024 | 94.51 Mn |
| Jun 30, 2024 | 104.40 Mn |
| Mar 31, 2024 | 100.58 Mn |
| Dec 31, 2023 | 102.51 Mn |
| Sep 30, 2023 | 107.09 Mn |
| Jun 30, 2023 | 99.56 Mn |
| Mar 31, 2023 | 99.11 Mn |
| Dec 31, 2022 | 108.07 Mn |
| Sep 30, 2022 | 118.66 Mn |
| Jun 30, 2022 | 132.14 Mn |
| Mar 31, 2022 | 105.32 Mn |
| Dec 31, 2021 | 92.97 Mn |
| Sep 30, 2021 | 96.32 Mn |
Old Dominion Freight Line Tax Provisions 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=tax-provisions&ticker=ODFL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "ticker": "ODFL", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=tax-provisions&ticker=ODFL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();