Schneider National (SNDR) Capital Expenditures (2016 - 2026)
Schneider National (SNDR) recorded Capital Expenditures of $112.8 million in Q2 2026, up 63.2% from $69.1 million a year earlier and up 175.8% from the prior quarter.
Schneider National (SNDR) Capital Expenditures (2016 - 2026) Analysis & Trends
On a TTM basis, Schneider National's Capital Expenditures came in at $322.2 million as of Jun 30, 2026, down 14.6% year-over-year; for FY2025, it was $352 million, down 15.0% from FY2024.
- Annual Capital Expenditures has a five-year compound annual growth rate of 5.1% (FY2020 to FY2025).
- Across earlier years, Capital Expenditures came in at $414 million in FY2024 (-37.3%), $660.1 million in FY2023 (+23.4%), $535.1 million in FY2022 (+34.0%) and $399.4 million in FY2021 (+45.3%).
- Quarterly Capital Expenditures has ranged from $40.5 million in Q4 2025 to $214 million in Q4 2022 over the past five years.
- On a year-over-year basis, Capital Expenditures rose in two of the last eight quarters, with an average decline of 18.5%.
- Peak year-over-year performance for Capital Expenditures in the last five years was growth of 217.4% in Q1 2022, against a decline of 64.2% in Q1 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at $40.9 million (Q1 2026), $40.5 million (Q4 2025) and $128 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 161.62 Bn | 156.15 Bn | - | 873.00 Mn |
| 2 | Csx | 86.16 Bn | 82.37 Bn | - | 576.00 Mn |
| 3 | Canadian Pacific Kansas City | 74.78 Bn | 74.50 Bn | - | 547.98 Mn |
| 4 | United Parcel Service | 70.01 Bn | 46.94 Bn | - | 693.00 Mn |
| 5 | Norfolk Southern | 69.45 Bn | 64.09 Bn | - | 439.00 Mn |
| 6 | Fedex | 67.46 Bn | 33.40 Bn | - | 1.47 Bn |
| 7 | Delta Air Lines | 54.88 Bn | 37.06 Bn | - | -786.00 Mn |
| 8 | Old Dominion Freight Line | 36.07 Bn | 35.33 Bn | - | 77.04 Mn |
| 9 | Ryanair Holdings | 28.71 Bn | 12.72 Bn | 3.13 Bn | -551.77 Mn |
| 10 | Schneider National | 5.58 Bn | 4.51 Bn | - | 112.80 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 112.80 Mn |
| Mar 31, 2026 | 40.90 Mn |
| Dec 31, 2025 | 40.50 Mn |
| Sep 30, 2025 | 128.00 Mn |
| Jun 30, 2025 | 69.10 Mn |
| Mar 31, 2025 | 114.40 Mn |
| Dec 31, 2024 | 85.90 Mn |
| Sep 30, 2024 | 107.70 Mn |
| Jun 30, 2024 | 97.10 Mn |
| Mar 31, 2024 | 123.30 Mn |
| Dec 31, 2023 | 159.50 Mn |
| Sep 30, 2023 | 156.20 Mn |
| Jun 30, 2023 | 201.30 Mn |
| Mar 31, 2023 | 143.10 Mn |
| Dec 31, 2022 | 214.00 Mn |
| Sep 30, 2022 | 162.10 Mn |
| Jun 30, 2022 | 98.70 Mn |
| Mar 31, 2022 | 60.30 Mn |
| Dec 31, 2021 | 102.50 Mn |
| Sep 30, 2021 | 143.30 Mn |
Schneider National Capital Expenditures 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=capital-expenditures&ticker=SNDR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "ticker": "SNDR", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=capital-expenditures&ticker=SNDR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();