Schneider National (SNDR) Restructuring Costs (2019 - 2020)
Schneider National (SNDR) posted Restructuring Costs of $1.5 million for Q4 2020, down 88.7% from $13.3 million a year earlier but up 200.0% from the prior quarter.
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Analysis
Schneider National (SNDR) Restructuring Costs (2019 - 2020) Analysis & Trends
For FY2020, Schneider National's Restructuring Costs came in at $1 million, down 98.4% from FY2019.
- In prior years, Schneider National's Restructuring Costs was $63.7 million in FY2019.
- Quarterly Restructuring Costs has run from a low of -$1.2 million in Q1 2020 to a high of $50.4 million in Q3 2019 over five years.
- According to Business Quant data, Restructuring Costs for the three prior quarters was $500,000 (Q3 2020), $200,000 (Q2 2020) and -$1.2 million (Q1 2020).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Union Pacific | 177.13 Bn | 169.38 Bn | - |
| 2 | Csx | 95.25 Bn | 90.48 Bn | - |
| 3 | Canadian Pacific Kansas City | 79.66 Bn | 79.37 Bn | - |
| 4 | United Parcel Service | 76.08 Bn | 53.01 Bn | - |
| 5 | Norfolk Southern | 75.89 Bn | 70.35 Bn | - |
| 6 | Fedex | 71.92 Bn | 37.86 Bn | - |
| 7 | Delta Air Lines | 52.14 Bn | 34.32 Bn | - |
| 8 | Old Dominion Freight Line | 39.40 Bn | 38.66 Bn | - |
| 9 | United Airlines Holdings | 33.14 Bn | -24.56 Bn | - |
| 10 | Schneider National | 5.45 Bn | 4.38 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2020 | 1.50 Mn |
| Sep 30, 2020 | 500,000.00 |
| Jun 30, 2020 | 200,000.00 |
| Mar 31, 2020 | -1.20 Mn |
| Dec 31, 2019 | 13.30 Mn |
| Sep 30, 2019 | 50.40 Mn |
API Access
Schneider National Restructuring Costs 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=restructuring-costs&ticker=SNDR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "restructuring-costs", "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=restructuring-costs&ticker=SNDR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();