Schneider National (SNDR) Inventory (2016 - 2026)
Schneider National (SNDR) posted Inventory of $62.8 million for Q2 2026, down 23.8% from $82.4 million a year earlier and down 19.6% from the prior quarter.
Schneider National (SNDR) Inventory (2016 - 2026) Analysis & Trends
At the end of FY2025, Schneider National's Inventory came in at $99.8 million, up 11.1% from FY2024.
- Annual Inventory shows a five-year compound annual growth rate of 17.3% (FY2020 to FY2025).
- In prior years, Schneider National's Inventory was $89.8 million in FY2024 (-23.8%), $117.9 million in FY2023 (+122.5%), $53 million in FY2022 (+93.4%) and $27.4 million in FY2021 (-39.0%).
- The Q2 2026 figure stands as the lowest quarterly Inventory since Q1 2023.
- On a year-over-year basis, Inventory increased in three of the last eight quarters, with an average decline of 8.2%.
- The strongest year-over-year quarter for Inventory in the past five years was Q3 2023, with growth of 164.0%; the weakest was Q3 2021, with a decline of 56.1%.
- According to Business Quant data, Inventory for the three prior quarters was $78.1 million (Q1 2026), $99.8 million (Q4 2025) and $101.4 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 161.62 Bn | 156.15 Bn | - | 919.00 Mn |
| 2 | Csx | 86.16 Bn | 82.37 Bn | - | 406.00 Mn |
| 3 | Canadian Pacific Kansas City | 74.78 Bn | 74.50 Bn | - | 391.83 Mn |
| 4 | United Parcel Service | 70.01 Bn | 46.94 Bn | - | - |
| 5 | Norfolk Southern | 69.45 Bn | 64.09 Bn | - | 327.00 Mn |
| 6 | Fedex | 67.46 Bn | 33.40 Bn | - | - |
| 7 | Delta Air Lines | 54.88 Bn | 37.06 Bn | - | 2.56 Bn |
| 8 | Old Dominion Freight Line | 36.07 Bn | 35.33 Bn | - | - |
| 9 | Ryanair Holdings | 28.71 Bn | 12.72 Bn | 3.13 Bn | 5.35 Mn |
| 10 | Schneider National | 5.58 Bn | 4.51 Bn | - | 62.80 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 62.80 Mn |
| Mar 31, 2026 | 78.10 Mn |
| Dec 31, 2025 | 99.80 Mn |
| Sep 30, 2025 | 101.40 Mn |
| Jun 30, 2025 | 82.40 Mn |
| Mar 31, 2025 | 93.70 Mn |
| Dec 31, 2024 | 89.80 Mn |
| Sep 30, 2024 | 83.30 Mn |
| Jun 30, 2024 | 91.10 Mn |
| Mar 31, 2024 | 91.90 Mn |
| Dec 31, 2023 | 117.90 Mn |
| Sep 30, 2023 | 113.80 Mn |
| Jun 30, 2023 | 84.80 Mn |
| Mar 31, 2023 | 59.50 Mn |
| Dec 31, 2022 | 53.00 Mn |
| Sep 30, 2022 | 43.10 Mn |
| Jun 30, 2022 | 32.80 Mn |
| Mar 31, 2022 | 31.30 Mn |
| Dec 31, 2021 | 27.40 Mn |
| Sep 30, 2021 | 25.10 Mn |
Schneider National Inventory 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=inventory&ticker=SNDR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "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=inventory&ticker=SNDR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();