Tss (TSSI) Total Current Liabilities (2010 - 2026)
Tss (TSSI) posted Total Current Liabilities of $62.18 million for Q2 2026, down 28.7% from $87.24 million a year earlier but up 53.1% from the prior quarter.
Tss (TSSI) Total Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Tss' Total Current Liabilities came in at $72.57 million, up 27.5% from FY2024.
- Annual Total Current Liabilities shows a five-year compound annual growth rate of 32.0% (FY2020 to FY2025).
- In prior years, Tss' Total Current Liabilities was $56.92 million in FY2024 (+209.0%), $18.42 million in FY2023 (-23.8%), $24.16 million in FY2022 (+99.4%) and $12.12 million in FY2021 (-33.0%).
- Quarterly Total Current Liabilities has run from a low of $12.12 million in Q4 2021 to a high of $87.24 million in Q2 2025 over five years.
- On a year-over-year basis, Total Current Liabilities increased in six of the last eight quarters, with growth averaging 105.9%.
- The strongest year-over-year quarter for Total Current Liabilities in the past five years was Q2 2025, with growth of 349.4%; the weakest was Q2 2024, with a decline of 46.9%.
- According to Business Quant data, Total Current Liabilities for the three prior quarters was $40.61 million (Q1 2026), $72.57 million (Q4 2025) and $66.01 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 52.36 Bn | 38.86 Bn | 1.60 Bn | 5.59 Bn |
| 2 | Cognizant Technology Solutions | 32.28 Bn | 25.44 Bn | 1.83 Bn | 3.46 Bn |
| 3 | Wipro | 22.47 Bn | 17.17 Bn | 738.00 Mn | 4.32 Bn |
| 4 | Td Synnex | 19.94 Bn | 14.10 Bn | 1.43 Bn | 27.61 Bn |
| 5 | Cdw | 19.82 Bn | 17.81 Bn | 1.32 Bn | 8.30 Bn |
| 6 | Cgi | 17.64 Bn | 15.43 Bn | - | 3.77 Bn |
| 7 | Arrow Electronics | 11.18 Bn | 10.13 Bn | 1.13 Bn | 28.74 Bn |
| 8 | Avnet | 7.55 Bn | 6.73 Bn | 865.03 Mn | 7.50 Bn |
| 9 | EPAM Systems | 6.93 Bn | 2.57 Bn | 429.57 Mn | 804.44 Mn |
| 10 | Tss | 432.65 Mn | 135.98 Mn | 8.01 Mn | 62.18 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 62.18 Mn |
| Mar 31, 2026 | 40.61 Mn |
| Dec 31, 2025 | 72.57 Mn |
| Sep 30, 2025 | 66.01 Mn |
| Jun 30, 2025 | 87.24 Mn |
| Mar 31, 2025 | 72.21 Mn |
| Dec 31, 2024 | 56.92 Mn |
| Sep 30, 2024 | 55.62 Mn |
| Jun 30, 2024 | 19.41 Mn |
| Mar 31, 2024 | 19.64 Mn |
| Dec 31, 2023 | 18.42 Mn |
| Sep 30, 2023 | 37.70 Mn |
| Jun 30, 2023 | 36.56 Mn |
| Mar 31, 2023 | 17.94 Mn |
| Dec 31, 2022 | 24.16 Mn |
| Sep 30, 2022 | 16.51 Mn |
| Jun 30, 2022 | 13.06 Mn |
| Mar 31, 2022 | 16.44 Mn |
| Dec 31, 2021 | 12.12 Mn |
| Sep 30, 2021 | 18.33 Mn |
Tss Total Current Liabilities 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=total-current-liabilities&ticker=TSSI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-liabilities", "ticker": "TSSI", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=total-current-liabilities&ticker=TSSI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();