Old Dominion Freight Line (ODFL) Cash & Equivalents (2009 - 2026)
Old Dominion Freight Line (ODFL) reported Cash & Equivalents of $283.94 million for Q2 2026, compared with $24.06 million a year earlier and down 1.4% from the prior quarter.
Old Dominion Freight Line (ODFL) Cash & Equivalents (2009 - 2026) Analysis & Trends
At the end of FY2025, Old Dominion Freight Line posted Cash & Equivalents of $120.09 million, up 10.5% from FY2024.
- Cash & Equivalents has a five-year compound annual growth rate of -21.4% (FY2020 to FY2025).
- By year, Cash & Equivalents came in at $108.68 million in FY2024 (-74.9%), $433.8 million in FY2023 (+132.8%), $186.31 million in FY2022 (-59.7%) and $462.56 million in FY2021 (+15.2%).
- Five-year quarterly Cash & Equivalents spans a low of $24.06 million in Q2 2025 and a high of $580.97 million in Q1 2024.
- Year over year, Cash & Equivalents gained in two of the last seven quarters, with an average decline of 17.2%.
- The high point for year-over-year Cash & Equivalents in five years was Q1 2026 (growth of 196.4%); the low point was Q1 2025 (a decline of 83.3%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $288.08 million (Q1 2026), $120.09 million (Q4 2025) and $46.59 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 161.62 Bn | 156.15 Bn | - | 1.61 Bn |
| 2 | Csx | 86.16 Bn | 82.37 Bn | - | 1.01 Bn |
| 3 | Canadian Pacific Kansas City | 74.78 Bn | 74.50 Bn | - | 264.59 Mn |
| 4 | United Parcel Service | 70.01 Bn | 46.94 Bn | - | 4.65 Bn |
| 5 | Norfolk Southern | 69.45 Bn | 64.09 Bn | - | 1.07 Bn |
| 6 | Fedex | 67.46 Bn | 33.40 Bn | - | 13.31 Bn |
| 7 | Delta Air Lines | 54.88 Bn | 37.06 Bn | - | 4.67 Bn |
| 8 | Old Dominion Freight Line | 36.07 Bn | 35.33 Bn | - | 283.94 Mn |
| 9 | Ryanair Holdings | 28.71 Bn | 12.72 Bn | 3.13 Bn | 2.89 Bn |
| 10 | Copart | 25.27 Bn | 9.69 Bn | 645.66 Mn | 1.91 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 283.94 Mn |
| Mar 31, 2026 | 288.08 Mn |
| Dec 31, 2025 | 120.09 Mn |
| Sep 30, 2025 | 46.59 Mn |
| Jun 30, 2025 | 24.06 Mn |
| Mar 31, 2025 | 97.20 Mn |
| Dec 31, 2024 | 108.68 Mn |
| Sep 30, 2024 | 74.16 Mn |
| Jun 30, 2024 | 74.30 Mn |
| Mar 31, 2024 | 580.97 Mn |
| Dec 31, 2023 | 433.80 Mn |
| Sep 30, 2023 | 206.60 Mn |
| Jun 30, 2023 | 55.14 Mn |
| Mar 31, 2023 | 207.62 Mn |
| Dec 31, 2022 | 186.31 Mn |
| Sep 30, 2022 | 216.73 Mn |
| Jun 30, 2022 | 196.13 Mn |
| Mar 31, 2022 | 262.12 Mn |
| Dec 31, 2021 | 462.56 Mn |
| Sep 30, 2021 | 339.76 Mn |
Old Dominion Freight Line Cash & Equivalents 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-and-equivalents&ticker=ODFL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=ODFL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();