Knight-Swift Transportation Holdings (KNX) Accumulated Expenses (2010 - 2026)
Knight-Swift Transportation Holdings (KNX) posted Accumulated Expenses of $60.12 million for Q2 2026, down 17.5% from $72.87 million a year earlier but up 7.6% from the prior quarter.
Knight-Swift Transportation Holdings (KNX) Accumulated Expenses (2010 - 2026) Analysis & Trends
At the end of FY2025, Knight-Swift Transportation Holdings' Accumulated Expenses came in at $66.64 million, up 4.0% from FY2024.
- Annual Accumulated Expenses shows a five-year compound annual growth rate of -5.6% (FY2020 to FY2025).
- In prior years, Knight-Swift Transportation Holdings' Accumulated Expenses was $64.1 million in FY2024 (-70.9%), $220.35 million in FY2023 (+170.3%), $81.53 million in FY2022 (-36.6%) and $128.54 million in FY2021 (+44.6%).
- Quarterly Accumulated Expenses has run from a low of $55.85 million in Q1 2026 to a high of $228.47 million in Q3 2023 over five years.
- On a year-over-year basis, Accumulated Expenses increased in 1 of the last eight quarters, with an average decline of 40.2%.
- The strongest year-over-year quarter for Accumulated Expenses in the past five years was Q1 2024, with growth of 174.2%; the weakest was Q3 2025, with a decline of 71.8%.
- According to Business Quant data, Accumulated Expenses for the three prior quarters was $55.85 million (Q1 2026), $66.64 million (Q4 2025) and $58.34 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Union Pacific | 163.83 Bn | 158.36 Bn | - |
| 2 | Csx | 87.05 Bn | 83.25 Bn | - |
| 3 | United Parcel Service | 79.39 Bn | 56.28 Bn | - |
| 4 | Canadian Pacific Kansas City | 74.55 Bn | 73.55 Bn | - |
| 5 | Norfolk Southern | 70.71 Bn | 65.35 Bn | - |
| 6 | Fedex | 68.56 Bn | 34.51 Bn | - |
| 7 | Delta Air Lines | 54.02 Bn | 36.20 Bn | - |
| 8 | Old Dominion Freight Line | 37.04 Bn | 36.30 Bn | - |
| 9 | United Airlines Holdings | 35.47 Bn | -20.90 Bn | - |
| 10 | Knight-Swift Transportation Holdings | 10.41 Bn | 9.59 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 60.12 Mn |
| Mar 31, 2026 | 55.85 Mn |
| Dec 31, 2025 | 66.64 Mn |
| Sep 30, 2025 | 58.34 Mn |
| Jun 30, 2025 | 72.87 Mn |
| Mar 31, 2025 | 76.03 Mn |
| Dec 31, 2024 | 64.10 Mn |
| Sep 30, 2024 | 207.14 Mn |
| Jun 30, 2024 | 197.80 Mn |
| Mar 31, 2024 | 224.75 Mn |
| Dec 31, 2023 | 220.35 Mn |
| Sep 30, 2023 | 228.47 Mn |
| Jun 30, 2023 | 81.77 Mn |
| Mar 31, 2023 | 81.95 Mn |
| Dec 31, 2022 | 81.53 Mn |
| Sep 30, 2022 | 98.51 Mn |
| Jun 30, 2022 | 124.07 Mn |
| Mar 31, 2022 | 188.01 Mn |
| Dec 31, 2021 | 128.54 Mn |
| Sep 30, 2021 | 134.00 Mn |
Knight-Swift Transportation Holdings 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=KNX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "KNX", "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=KNX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();