Transportation & Logistics Systems, Inc. (TLSS) Accumulated Expenses (2014 - 2026)
Transportation & Logistics Systems' Accumulated Expenses came in at $1.23 million for Q2 2026, up 422.9% from $234,478 a year earlier.
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Analysis
Transportation & Logistics Systems, Inc. (TLSS) Accumulated Expenses (2014 - 2026) Analysis & Trends
At the end of FY2025, Transportation & Logistics Systems' Accumulated Expenses was $666,575, up 497.2% from FY2024.
- Accumulated Expenses carries a five-year compound annual growth rate of 21.3% (FY2020 to FY2025).
- Going back by year, Accumulated Expenses was $111,618 in FY2024 (+123.2%), $50,000 in FY2023 (-75.0%), $200,000 in FY2022 (-6.1%) and $212,975 in FY2021 (-16.2%).
- The Q2 2026 figure represents the highest quarterly Accumulated Expenses since Q1 2025.
- Year-over-year, Accumulated Expenses increased in five of the last six quarters, with growth averaging 252.7%.
- The fastest year-over-year change in Accumulated Expenses over five years came in Q4 2025 (growth of 497.2%), and the weakest in Q2 2024 (a decline of 95.8%).
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Historic Data
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Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.23 Mn |
| Dec 31, 2025 | 666,575.00 |
| Sep 30, 2025 | 149,618.00 |
| Jun 30, 2025 | 234,478.00 |
| Mar 31, 2025 | 1.66 Mn |
| Dec 31, 2024 | 111,618.00 |
| Sep 30, 2024 | 50,000.00 |
| Jun 30, 2024 | 50,000.00 |
| Mar 31, 2024 | 50,000.00 |
| Dec 31, 2023 | 50,000.00 |
| Sep 30, 2023 | 1.08 Mn |
| Jun 30, 2023 | 1.18 Mn |
| Mar 31, 2023 | 910,918.00 |
| Dec 31, 2022 | 200,000.00 |
| Sep 30, 2022 | 506,723.00 |
| Jun 30, 2022 | 368,800.00 |
| Mar 31, 2022 | 607,634.00 |
| Dec 31, 2021 | 212,975.00 |
| Sep 7, 2021 | 314,927.00 |
| Jun 30, 2021 | 500,552.00 |
API Access
Transportation & Logistics Systems, Inc. Accumulated 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=accumulated-expenses&ticker=TLSS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=TLSS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();