Transportation & Logistics Systems (TLSS) Non-Current Assets (2013 - 2023)
Transportation & Logistics Systems' Non-Current Assets came in at $20.39 million for Q3 2023, up 1.8% from $20.02 million a year earlier but down 4.2% from the prior quarter.
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Analysis
Transportation & Logistics Systems (TLSS) Non-Current Assets (2013 - 2023) Analysis & Trends
At the end of FY2022, Transportation & Logistics Systems' Non-Current Assets was $17.15 million, up 515.1% from FY2021.
- Non-Current Assets has increased in each of the last three years, with a four-year compound annual growth rate of 32.2% (FY2018 to FY2022).
- Going back by year, Non-Current Assets was $2.79 million in FY2021 (+30.4%), $2.14 million in FY2020 (+3.4%), $2.07 million in FY2019 (-63.2%) and $5.61 million in FY2018.
- The five-year range for quarterly Non-Current Assets is $1.96 million (Q2 2022) to $22.34 million (Q1 2023).
- Year-over-year, Non-Current Assets has increased for four consecutive quarters, with growth averaging 312.2% over the last seven quarters.
- The fastest year-over-year change in Non-Current Assets over five years came in Q2 2023 (growth of 983.9%), and the weakest in Q4 2019 (a decline of 63.2%).
- Business Quant data shows TLSS's Non-Current Assets at $21.3 million (Q2 2023), $22.34 million (Q1 2023) and $17.15 million (Q4 2022) in the three quarters before Q3 2023.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 170.50 Bn | 165.03 Bn | - | 65.68 Bn |
| 2 | Csx | 88.86 Bn | 85.07 Bn | - | 41.32 Bn |
| 3 | United Parcel Service | 82.91 Bn | 59.81 Bn | - | 53.72 Bn |
| 4 | Canadian Pacific Kansas City | 76.79 Bn | 75.81 Bn | - | 60.40 Bn |
| 5 | Norfolk Southern | 72.78 Bn | 67.42 Bn | - | 42.32 Bn |
| 6 | Fedex | 69.54 Bn | 35.48 Bn | - | 71.03 Bn |
| 7 | Delta Air Lines | 48.82 Bn | 31.01 Bn | - | 72.56 Bn |
| 8 | Old Dominion Freight Line | 38.83 Bn | 38.10 Bn | - | 4.73 Bn |
| 9 | United Airlines Holdings | 31.02 Bn | -25.36 Bn | - | 62.91 Bn |
| 10 | Transportation & Logistics Systems | 1.18 Bn | 1.18 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2023 | 20.39 Mn |
| Jun 30, 2023 | 21.30 Mn |
| Mar 31, 2023 | 22.34 Mn |
| Dec 31, 2022 | 17.15 Mn |
| Sep 30, 2022 | 20.02 Mn |
| Jun 30, 2022 | 1.96 Mn |
| Mar 31, 2022 | 2.60 Mn |
| Dec 31, 2021 | 2.79 Mn |
| Sep 30, 2021 | 2.95 Mn |
| Jun 30, 2021 | 4.00 Mn |
| Mar 31, 2021 | 5.56 Mn |
| Dec 31, 2020 | 2.14 Mn |
| Sep 30, 2020 | 2.40 Mn |
| Jun 30, 2020 | 2.50 Mn |
| Dec 31, 2019 | 2.07 Mn |
| Sep 30, 2019 | 4.45 Mn |
| Jun 30, 2019 | 3.77 Mn |
| Mar 31, 2019 | 5.82 Mn |
| Dec 31, 2018 | 5.61 Mn |
| Sep 30, 2018 | 4.48 Mn |
API Access
Transportation & Logistics Systems Non-Current Assets 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=non-current-assets&ticker=TLSS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "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=non-current-assets&ticker=TLSS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();