Transportation & Logistics Systems (TLSS) Debt Ratio (2011 - 2026)
Transportation & Logistics Systems' Debt Ratio came in at 5.72 for Q2 2026.
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Analysis
Transportation & Logistics Systems (TLSS) Debt Ratio (2011 - 2026) Analysis & Trends
For FY2024, Transportation & Logistics Systems' Debt Ratio was 10.33.
- Going back by year, Debt Ratio was 0.54 in FY2023 (+97.7%), 0.27 in FY2022 (+776.3%), 0.03 in FY2021 (-91.4%) and 0.36 in FY2020 (-57.2%).
- The Q2 2026 figure represents the highest quarterly Debt Ratio since Q1 2025.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Debt Ratio (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 170.80 Bn | 165.33 Bn | - | 0.43 |
| 2 | Csx | 89.17 Bn | 85.38 Bn | - | 0.42 |
| 3 | United Parcel Service | 83.81 Bn | 60.70 Bn | - | 0.34 |
| 4 | Canadian Pacific Kansas City | 77.31 Bn | 76.33 Bn | - | 0.28 |
| 5 | Norfolk Southern | 73.23 Bn | 67.87 Bn | - | 0.37 |
| 6 | Fedex | 70.82 Bn | 36.77 Bn | - | 0.26 |
| 7 | Delta Air Lines | 50.27 Bn | 32.46 Bn | - | 0.16 |
| 8 | Old Dominion Freight Line | 39.09 Bn | 38.36 Bn | - | 0.00 |
| 9 | United Airlines Holdings | 31.83 Bn | -24.55 Bn | - | 0.31 |
| 10 | Transportation & Logistics Systems | 1.18 Bn | 1.18 Bn | - | 5.72 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.72 |
| Mar 31, 2025 | 11.58 |
| Dec 31, 2024 | 12.00 |
| Sep 30, 2024 | 9.21 |
| Jun 30, 2024 | 7.80 |
| Mar 31, 2024 | 5.68 |
| Dec 31, 2023 | 0.54 |
| Sep 30, 2023 | 0.30 |
| Jun 30, 2023 | 0.27 |
| Mar 31, 2023 | 0.28 |
| Dec 31, 2022 | 0.27 |
| Sep 30, 2022 | 0.23 |
| Mar 31, 2022 | 0.00 |
| Dec 31, 2021 | 0.03 |
| Sep 30, 2021 | 0.12 |
| Jun 30, 2021 | 0.17 |
| Mar 31, 2021 | 0.19 |
| Dec 31, 2020 | 0.36 |
| Sep 30, 2020 | 1.01 |
| Jun 30, 2020 | 0.72 |
API Access
Transportation & Logistics Systems Debt Ratio 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=debt-ratio&ticker=TLSS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "debt-ratio", "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=debt-ratio&ticker=TLSS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();