TFI International (TFII) Other Operating Expenses (2019 - 2026)
TFI International's Other Operating Expenses was $111.17 million in Q2 2026, up 11.9% from $99.35 million a year earlier but down 2.4% from the prior quarter.
TFI International (TFII) Other Operating Expenses (2019 - 2026) Analysis & Trends
On a trailing twelve-month basis, TFI International's Other Operating Expenses was $429.99 million through Jun 30, 2026, up 1.8% year-over-year; for FY2025, it was $416.64 million, down 4.3% from FY2024.
- Other Operating Expenses shows a five-year compound annual growth rate of 22.6% (FY2020 to FY2025).
- In earlier years, Other Operating Expenses was $435.49 million in FY2024 (+0.2%), $434.75 million in FY2023 (-11.7%), $492.29 million in FY2022 (+29.4%) and $380.34 million in FY2021 (+152.6%).
- Quarterly Other Operating Expenses has moved between $99.35 million (Q2 2025) and $140.28 million (Q3 2022) over five years.
- Compared with a year earlier, Other Operating Expenses was higher in four of the last eight quarters, with an average decline of 1.0%.
- The best year-over-year quarter for Other Operating Expenses over five years was Q3 2021 (growth of 215.5%); the worst was Q3 2023 (a decline of 23.6%).
- Per Business Quant data, TFII's Other Operating Expenses in the three quarters before Q2 2026 was $113.84 million (Q1 2026), $101.08 million (Q4 2025) and $103.91 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Union Pacific | 170.95 Bn | 165.48 Bn | - |
| 2 | Csx | 89.48 Bn | 85.68 Bn | - |
| 3 | United Parcel Service | 84.41 Bn | 61.30 Bn | - |
| 4 | Canadian Pacific Kansas City | 77.76 Bn | 76.77 Bn | - |
| 5 | Norfolk Southern | 73.29 Bn | 67.94 Bn | - |
| 6 | Fedex | 71.24 Bn | 37.19 Bn | - |
| 7 | Delta Air Lines | 51.37 Bn | 33.56 Bn | - |
| 8 | Old Dominion Freight Line | 39.22 Bn | 38.48 Bn | - |
| 9 | United Airlines Holdings | 32.76 Bn | -23.61 Bn | - |
| 10 | TFI International | 9.38 Bn | 8.74 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 111.17 Mn |
| Mar 31, 2026 | 113.84 Mn |
| Dec 31, 2025 | -732.21 Mn |
| Sep 30, 2025 | 103.91 Mn |
| Jun 30, 2025 | 99.35 Mn |
| Mar 31, 2025 | 112.31 Mn |
| Dec 31, 2024 | -761.27 Mn |
| Sep 30, 2024 | 101.05 Mn |
| Jun 30, 2024 | 119.87 Mn |
| Mar 31, 2024 | 104.86 Mn |
| Dec 31, 2023 | -759.07 Mn |
| Sep 30, 2023 | 107.13 Mn |
| Jun 30, 2023 | 104.75 Mn |
| Mar 31, 2023 | 112.44 Mn |
| Dec 31, 2022 | -875.60 Mn |
| Sep 30, 2022 | 140.28 Mn |
| Jun 30, 2022 | 126.82 Mn |
| Mar 31, 2022 | 116.21 Mn |
| Dec 31, 2021 | -638.30 Mn |
| Sep 30, 2021 | 109.99 Mn |
TFI International Other Operating 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=other-operating-expenses&ticker=TFII&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-expenses", "ticker": "TFII", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=other-operating-expenses&ticker=TFII&period=max&api_key=YOUR_API_KEY");
const data = await res.json();