Schneider National (SNDR) Land & Improvements (2016 - 2026)
Schneider National's Land & Improvements came in at $297.2 million for Q2 2026, up 9.7% from $270.8 million a year earlier and up 1.5% from the prior quarter.
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Analysis
Schneider National (SNDR) Land & Improvements (2016 - 2026) Analysis & Trends
At the end of FY2025, Schneider National's Land & Improvements was $271.5 million, up 2.5% from FY2024.
- Land & Improvements has increased in each of the last seven years, with a five-year compound annual growth rate of 6.1% (FY2020 to FY2025).
- Going back by year, Land & Improvements was $264.8 million in FY2024 (+17.1%), $226.1 million in FY2023 (+3.2%), $219 million in FY2022 (+1.5%) and $215.7 million in FY2021 (+6.6%).
- The Q2 2026 figure represents the highest quarterly Land & Improvements in data going back to Q4 2016.
- Year-over-year, Land & Improvements has increased for 30 consecutive quarters, with growth averaging 11.8% over the last eight quarters.
- The year-over-year growth in Land & Improvements has ranged between 1.4% (Q3 2021) and 18.7% (Q1 2025) over the last five years.
- Business Quant data shows SNDR's Land & Improvements at $292.8 million (Q1 2026), $271.5 million (Q4 2025) and $272.2 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Land & Improvements (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 173.57 Bn | 165.82 Bn | - | - |
| 2 | Csx | 93.73 Bn | 88.95 Bn | - | - |
| 3 | United Parcel Service | 85.38 Bn | 62.27 Bn | - | - |
| 4 | Canadian Pacific Kansas City | 79.16 Bn | 78.18 Bn | - | - |
| 5 | Norfolk Southern | 74.37 Bn | 68.83 Bn | - | - |
| 6 | Fedex | 70.74 Bn | 36.69 Bn | - | - |
| 7 | Delta Air Lines | 50.02 Bn | 32.21 Bn | - | - |
| 8 | Old Dominion Freight Line | 37.99 Bn | 37.25 Bn | - | 3.57 Bn |
| 9 | United Airlines Holdings | 31.82 Bn | -25.87 Bn | - | - |
| 10 | Schneider National | 5.27 Bn | 4.20 Bn | - | 297.20 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 297.20 Mn |
| Mar 31, 2026 | 292.80 Mn |
| Dec 31, 2025 | 271.50 Mn |
| Sep 30, 2025 | 272.20 Mn |
| Jun 30, 2025 | 270.80 Mn |
| Mar 31, 2025 | 269.70 Mn |
| Dec 31, 2024 | 264.80 Mn |
| Sep 30, 2024 | 231.70 Mn |
| Jun 30, 2024 | 228.60 Mn |
| Mar 31, 2024 | 227.30 Mn |
| Dec 31, 2023 | 226.10 Mn |
| Sep 30, 2023 | 227.90 Mn |
| Jun 30, 2023 | 225.10 Mn |
| Mar 31, 2023 | 220.00 Mn |
| Dec 31, 2022 | 219.00 Mn |
| Sep 30, 2022 | 217.30 Mn |
| Jun 30, 2022 | 211.40 Mn |
| Mar 31, 2022 | 208.10 Mn |
| Dec 31, 2021 | 215.70 Mn |
| Sep 30, 2021 | 204.60 Mn |
API Access
Schneider National Land & Improvements 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=land-and-improvements&ticker=SNDR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "land-and-improvements", "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=land-and-improvements&ticker=SNDR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();