Transportation & Logistics Systems (TLSS) EBITDA Margin (2017 - 2023)
Transportation & Logistics Systems' EBITDA Margin was -6.92% in Q3 2023, up 43.72 percentage points from -50.64% a year earlier and up 4.86 percentage points from the prior quarter.
Transportation & Logistics Systems (TLSS) EBITDA Margin (2017 - 2023) Analysis & Trends
On a trailing twelve-month basis, Transportation & Logistics Systems' EBITDA Margin was -7.57% through Sep 30, 2023, up 69.33 percentage points year-over-year; for FY2022, it came in at -39.77%, up 63.51 percentage points from FY2021.
- EBITDA Margin shows a five-year change of -50.91 percentage points (FY2017 to FY2022).
- In earlier years, EBITDA Margin was -103.29% in FY2021 (-90.95 pp), -12.33% in FY2020 (+34.82 pp), -47.15% in FY2019 (-10.89 pp) and -36.25% in FY2018 (-47.39 pp).
- Quarterly EBITDA Margin has moved between -170.98% (Q4 2020) and 11.71% (Q3 2020) over five years.
- Compared with a year earlier, EBITDA Margin has increased for four straight quarters, with an average year-over-year change of +55.86 percentage points over the last seven quarters.
- The best year-over-year quarter for EBITDA Margin over five years was Q2 2019 (a gain of 639.57 percentage points); the worst was Q4 2020 (a drop of 120.45 percentage points).
- Per Business Quant data, TLSS's EBITDA Margin in the three quarters before Q3 2023 was -11.78% (Q2 2023), -12.66% (Q1 2023) and 6.18% (Q4 2022).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 170.82 Bn | 165.35 Bn | - | 49.55% |
| 2 | Csx | 89.33 Bn | 85.54 Bn | - | 48.72% |
| 3 | United Parcel Service | 84.04 Bn | 60.93 Bn | - | 8.36% |
| 4 | Canadian Pacific Kansas City | 77.24 Bn | 76.26 Bn | - | 47.81% |
| 5 | Norfolk Southern | 73.30 Bn | 67.94 Bn | - | 42.77% |
| 6 | Fedex | 71.12 Bn | 37.06 Bn | - | 10.71% |
| 7 | Delta Air Lines | 50.28 Bn | 32.47 Bn | - | 10.54% |
| 8 | Old Dominion Freight Line | 39.11 Bn | 38.37 Bn | - | 35.84% |
| 9 | United Airlines Holdings | 31.83 Bn | -24.55 Bn | - | 10.51% |
| 10 | Transportation & Logistics Systems | 1.18 Bn | 1.18 Bn | - | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2023 | -6.92% |
| Jun 30, 2023 | -11.78% |
| Mar 31, 2023 | -12.66% |
| Dec 31, 2022 | 6.18% |
| Sep 30, 2022 | -50.64% |
| Jun 30, 2022 | -58.25% |
| Mar 31, 2022 | -127.82% |
| Dec 31, 2021 | -82.42% |
| Sep 30, 2021 | -140.00% |
| Jun 30, 2021 | -91.90% |
| Mar 31, 2021 | -102.68% |
| Dec 31, 2020 | -170.98% |
| Sep 30, 2020 | 11.71% |
| Jun 30, 2020 | -6.29% |
| Mar 31, 2020 | 6.79% |
| Dec 31, 2019 | -50.53% |
| Sep 30, 2019 | -17.45% |
| Jun 30, 2019 | -59.12% |
| Mar 31, 2019 | -53.79% |
| Dec 31, 2018 | -5.39% |
Transportation & Logistics Systems EBITDA Margin 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=ebitda-margin&ticker=TLSS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda-margin", "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=ebitda-margin&ticker=TLSS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();