Transportation & Logistics Systems (TLSS) Operating Expenses (2010 - 2026)
Transportation & Logistics Systems (TLSS) recorded Operating Expenses of $227,501 in Q2 2026, down 41.6% from $389,375 a year earlier.
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Analysis
Transportation & Logistics Systems (TLSS) Operating Expenses (2010 - 2026) Analysis & Trends
On a TTM basis, Transportation & Logistics Systems' Operating Expenses came in at $1.3 million as of Jun 30, 2026, down 14.7% year-over-year; for FY2025, it was $1.41 million, down 24.8% from FY2024.
- Annual Operating Expenses has declined for six straight years, with a five-year compound annual growth rate of -33.4% (FY2020 to FY2025).
- Across earlier years, Operating Expenses came in at $1.87 million in FY2024 (-23.8%), $2.46 million in FY2023 (-41.7%), $4.21 million in FY2022 (-35.5%) and $6.53 million in FY2021 (-39.3%).
- The Q2 2026 figure is the lowest quarterly Operating Expenses since Q4 2023.
- On a year-over-year basis, Operating Expenses rose in 1 of the last six quarters, with an average decline of 18.8%.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 69.9% in Q1 2022, against a decline of 76.1% in Q2 2024 at the low end.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 171.77 Bn | 166.29 Bn | - | 4.10 Bn |
| 2 | Csx | 89.62 Bn | 85.83 Bn | - | 2.43 Bn |
| 3 | United Parcel Service | 84.59 Bn | 61.48 Bn | - | 21.90 Bn |
| 4 | Canadian Pacific Kansas City | 78.25 Bn | 77.27 Bn | - | 1.95 Bn |
| 5 | Norfolk Southern | 73.49 Bn | 68.14 Bn | - | 2.34 Bn |
| 6 | Fedex | 70.97 Bn | 36.92 Bn | - | 23.46 Bn |
| 7 | Delta Air Lines | 51.41 Bn | 33.60 Bn | - | 18.73 Bn |
| 8 | Old Dominion Freight Line | 39.34 Bn | 38.60 Bn | - | 1.09 Bn |
| 9 | United Airlines Holdings | 33.40 Bn | -22.97 Bn | - | 16.58 Bn |
| 10 | Transportation & Logistics Systems | 1.18 Bn | 1.18 Bn | - | 227,501.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 227,501.00 |
| Dec 31, 2025 | 290,862.00 |
| Sep 30, 2025 | 395,368.00 |
| Jun 30, 2025 | 389,375.00 |
| Mar 31, 2025 | 332,271.00 |
| Dec 31, 2024 | 394,220.00 |
| Sep 30, 2024 | 411,697.00 |
| Jun 30, 2024 | 237,736.00 |
| Mar 31, 2024 | 829,597.00 |
| Dec 31, 2023 | -371,356.00 |
| Sep 30, 2023 | 749,485.00 |
| Jun 30, 2023 | 995,769.00 |
| Mar 31, 2023 | 1.08 Mn |
| Dec 31, 2022 | -3.97 Mn |
| Sep 30, 2022 | 2.72 Mn |
| Jun 30, 2022 | 1.40 Mn |
| Mar 31, 2022 | 2.09 Mn |
| Dec 31, 2021 | 1.43 Mn |
| Sep 30, 2021 | 1.92 Mn |
| Jun 30, 2021 | 1.95 Mn |
API Access
Transportation & Logistics Systems Operating Expenses 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-expenses&ticker=TLSS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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-expenses&ticker=TLSS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();