Old Dominion Freight Line (ODFL) Accumulated Expenses (2009 - 2026)
Old Dominion Freight Line's Accumulated Expenses was $150.15 million in Q2 2026, up 4.0% from $144.42 million a year earlier and up 1.9% from the prior quarter.
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Analysis
Old Dominion Freight Line (ODFL) Accumulated Expenses (2009 - 2026) Analysis & Trends
At the end of FY2025, Accumulated Expenses at Old Dominion Freight Line came in at $148.94 million, up 3.9% from FY2024.
- Accumulated Expenses has now increased for four consecutive years, with a five-year compound annual growth rate of 7.3% (FY2020 to FY2025).
- In earlier years, Accumulated Expenses was $143.29 million in FY2024 (+7.8%), $132.93 million in FY2023 (+15.4%), $115.24 million in FY2022 (+85.9%) and $61.99 million in FY2021 (-40.7%).
- The Q2 2026 figure marks the highest quarterly Accumulated Expenses since Q3 2022.
- Compared with a year earlier, Accumulated Expenses has increased for eight straight quarters, with growth averaging 6.0% over the last eight quarters.
- The best year-over-year quarter for Accumulated Expenses over five years was Q4 2022 (growth of 85.9%); the worst was Q4 2021 (a decline of 40.7%).
- Per Business Quant data, ODFL's Accumulated Expenses in the three quarters before Q2 2026 was $147.29 million (Q1 2026), $148.94 million (Q4 2025) and $147.2 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Union Pacific | 178.63 Bn | 170.88 Bn | - |
| 2 | Csx | 94.16 Bn | 89.39 Bn | - |
| 3 | United Parcel Service | 83.47 Bn | 60.32 Bn | 22.04 Bn |
| 4 | Canadian Pacific Kansas City | 81.54 Bn | 81.26 Bn | 57.15 Mn |
| 5 | Fedex | 75.60 Bn | 41.80 Bn | 18.84 Bn |
| 6 | Norfolk Southern | 73.66 Bn | 68.13 Bn | - |
| 7 | Delta Air Lines | 60.67 Bn | 42.86 Bn | - |
| 8 | United Airlines Holdings | 39.17 Bn | -18.53 Bn | - |
| 9 | Old Dominion Freight Line | 34.72 Bn | 33.56 Bn | 1.56 Bn |
| 10 | Ryanair Holdings | 31.95 Bn | 16.22 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 153.89 Mn |
| Jun 30, 2026 | 150.15 Mn |
| Mar 31, 2026 | 147.29 Mn |
| Dec 31, 2025 | 148.94 Mn |
| Sep 30, 2025 | 147.20 Mn |
| Jun 30, 2025 | 144.42 Mn |
| Mar 31, 2025 | 142.57 Mn |
| Dec 31, 2024 | 143.29 Mn |
| Sep 30, 2024 | 139.35 Mn |
| Jun 30, 2024 | 134.29 Mn |
| Mar 31, 2024 | 123.77 Mn |
| Dec 31, 2023 | 132.93 Mn |
| Sep 30, 2023 | 138.57 Mn |
| Jun 30, 2023 | 136.44 Mn |
| Mar 31, 2023 | 126.34 Mn |
| Dec 31, 2022 | 115.24 Mn |
| Sep 30, 2022 | 160.38 Mn |
| Jun 30, 2022 | 157.75 Mn |
| Mar 31, 2022 | 154.36 Mn |
| Dec 31, 2021 | 61.99 Mn |
API Access
Old Dominion Freight Line 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=accumulated-expenses&ticker=ODFL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=ODFL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();