Transportation & Logistics Systems (TLSS) Operating Leases (2019 - 2023)
Transportation & Logistics Systems' Operating Leases came in at $7.51 million for Q3 2023, up 11.2% from $6.75 million a year earlier but down 10.8% from the prior quarter.
Transportation & Logistics Systems (TLSS) Operating Leases (2019 - 2023) Analysis & Trends
At the end of FY2022, Transportation & Logistics Systems' Operating Leases was $6.41 million.
- Operating Leases carries a three-year compound annual growth rate of 64.5% (FY2019 to FY2022).
- Going back by year, Operating Leases was $1.1 million in FY2020 (-23.4%) and $1.44 million in FY2019.
- The five-year range for quarterly Operating Leases is $911,029 (Q2 2021) to $9.22 million (Q1 2023).
- Business Quant data shows TLSS's Operating Leases at $8.41 million (Q2 2023), $9.22 million (Q1 2023) and $6.41 million (Q4 2022) in the three quarters before Q3 2023.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Union Pacific | 170.50 Bn | 165.03 Bn | - |
| 2 | Csx | 88.86 Bn | 85.07 Bn | - |
| 3 | United Parcel Service | 82.91 Bn | 59.81 Bn | - |
| 4 | Canadian Pacific Kansas City | 76.79 Bn | 75.81 Bn | - |
| 5 | Norfolk Southern | 72.78 Bn | 67.42 Bn | - |
| 6 | Fedex | 69.54 Bn | 35.48 Bn | - |
| 7 | Delta Air Lines | 48.82 Bn | 31.01 Bn | - |
| 8 | Old Dominion Freight Line | 38.83 Bn | 38.10 Bn | - |
| 9 | United Airlines Holdings | 31.02 Bn | -25.36 Bn | - |
| 10 | Transportation & Logistics Systems | 1.18 Bn | 1.18 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2023 | 7.51 Mn |
| Jun 30, 2023 | 8.41 Mn |
| Mar 31, 2023 | 9.22 Mn |
| Dec 31, 2022 | 6.41 Mn |
| Sep 30, 2022 | 6.75 Mn |
| Sep 30, 2021 | 8,366.00 |
| Jun 30, 2021 | 911,029.00 |
| Mar 31, 2021 | 1.03 Mn |
| Dec 31, 2020 | 1.10 Mn |
| Sep 30, 2020 | 1.20 Mn |
| Jun 30, 2020 | 1.30 Mn |
| Dec 31, 2019 | 1.44 Mn |
Transportation & Logistics Systems Operating Leases 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=operating-leases&ticker=TLSS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "ticker": "TLSS", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=operating-leases&ticker=TLSS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();