Union Pacific (UNP) Sales of Property, Plant and Equipment (2009 - 2023)
Union Pacific (UNP) recorded Sales of Property, Plant and Equipment of $33 million in Q2 2023, down 62.5% from $88 million a year earlier but up 175.0% from the prior quarter.
Union Pacific (UNP) Sales of Property, Plant and Equipment (2009 - 2023) Analysis & Trends
On a TTM basis, Union Pacific's Sales of Property, Plant and Equipment came in at $119 million as of Jun 30, 2023, down 39.6% year-over-year; for FY2022, it was $194 million, up 9.0% from FY2021.
- Annual Sales of Property, Plant and Equipment has increased for four straight years, with a five-year compound annual growth rate of 2.9% (FY2017 to FY2022).
- Across earlier years, Sales of Property, Plant and Equipment came in at $178 million in FY2021 (+19.5%), $149 million in FY2020 (+101.4%), $74 million in FY2019 (+17.5%) and $63 million in FY2018 (-62.5%).
- Quarterly Sales of Property, Plant and Equipment has ranged from $8 million in Q3 2018 to $99 million in Q2 2020 over the past five years.
- On a year-over-year basis, Sales of Property, Plant and Equipment has declined for three consecutive quarters, with growth averaging 28.9% over the last eight quarters.
- Peak year-over-year performance for Sales of Property, Plant and Equipment in the last five years was growth of 518.8% in Q2 2020, against a decline of 90.2% in Q3 2018 at the low end.
- Per Business Quant, the preceding three quarters came in at $12 million (Q1 2023), $22 million (Q4 2022) and $52 million (Q3 2022).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Sale) (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 165.28 Bn | 159.81 Bn | - | - |
| 2 | Csx | 87.86 Bn | 84.08 Bn | - | 73.00 Mn |
| 3 | Canadian Pacific Kansas City | 75.56 Bn | 75.27 Bn | - | 2.89 Mn |
| 4 | Norfolk Southern | 71.27 Bn | 65.91 Bn | - | 15.00 Mn |
| 5 | United Parcel Service | 69.70 Bn | 46.62 Bn | - | 116.00 Mn |
| 6 | Fedex | 68.71 Bn | 34.65 Bn | - | 24.00 Mn |
| 7 | Delta Air Lines | 55.32 Bn | 37.50 Bn | - | - |
| 8 | Old Dominion Freight Line | 37.44 Bn | 36.71 Bn | - | 29.47 Mn |
| 9 | United Airlines Holdings | 36.52 Bn | -19.85 Bn | - | 24.00 Mn |
| 10 | Ryanair Holdings | 28.73 Bn | 12.74 Bn | 3.13 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2023 | 33.00 Mn |
| Mar 31, 2023 | 12.00 Mn |
| Dec 31, 2022 | 22.00 Mn |
| Sep 30, 2022 | 52.00 Mn |
| Jun 30, 2022 | 88.00 Mn |
| Mar 31, 2022 | 32.00 Mn |
| Dec 31, 2021 | 58.00 Mn |
| Sep 30, 2021 | 19.00 Mn |
| Jun 30, 2021 | 84.00 Mn |
| Mar 31, 2021 | 17.00 Mn |
| Dec 31, 2020 | 30.00 Mn |
| Sep 30, 2020 | 12.00 Mn |
| Jun 30, 2020 | 99.00 Mn |
| Mar 31, 2020 | 8.00 Mn |
| Dec 31, 2019 | 11.00 Mn |
| Sep 30, 2019 | 33.00 Mn |
| Jun 30, 2019 | 16.00 Mn |
| Mar 31, 2019 | 14.00 Mn |
| Dec 31, 2018 | 24.00 Mn |
| Sep 30, 2018 | 8.00 Mn |
Union Pacific Sales of Property, Plant and Equipment 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=sales-of-property-plant-and-equipment&ticker=UNP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "sales-of-property-plant-and-equipment", "ticker": "UNP", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=sales-of-property-plant-and-equipment&ticker=UNP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();