Old Dominion Freight Line (ODFL) Cash & Equivalents (2009 - 2026)
Old Dominion Freight Line (ODFL) reported Cash & Equivalents of $466.22 million for Q3 2026, up 900.7% from $46.59 million a year earlier and up 64.2% from the prior quarter.
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Analysis
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%).
- The Q3 2026 figure ranks as the highest quarterly Cash & Equivalents since Q1 2024.
- Year over year, Cash & Equivalents gained in three of the last seven quarters, with growth averaging 120.6%.
- The high point for year-over-year Cash & Equivalents in five years was Q3 2026 (growth of 900.7%); the low point was Q1 2025 (a decline of 83.3%).
- Per Business Quant data, the three quarters before Q3 2026 came in at $283.94 million (Q2 2026), $288.08 million (Q1 2026) and $120.09 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 179.72 Bn | 171.97 Bn | - | 2.21 Bn |
| 2 | Csx | 95.95 Bn | 91.18 Bn | - | 1.22 Bn |
| 3 | United Parcel Service | 84.51 Bn | 61.36 Bn | 22.04 Bn | 6.84 Bn |
| 4 | Canadian Pacific Kansas City | 81.84 Bn | 81.57 Bn | 57.15 Mn | 281.16 Mn |
| 5 | Fedex | 76.69 Bn | 42.88 Bn | 18.84 Bn | 13.06 Bn |
| 6 | Norfolk Southern | 73.66 Bn | 68.13 Bn | - | 1.60 Bn |
| 7 | Delta Air Lines | 56.72 Bn | 38.90 Bn | - | 3.79 Bn |
| 8 | Old Dominion Freight Line | 36.07 Bn | 34.91 Bn | 1.56 Bn | 466.22 Mn |
| 9 | United Airlines Holdings | 35.51 Bn | -22.18 Bn | - | 6.65 Bn |
| 10 | Ryanair Holdings | 30.13 Bn | 14.39 Bn | - | 2.86 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 466.22 Mn |
| 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 |
API Access
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_KEYimport 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();