SCWorx (WORX) Total Current Liabilities (2015 - 2026)
SCWorx (WORX) posted Total Current Liabilities of $775,632 for Q2 2026, down 34.7% from $1.19 million a year earlier but up 6.7% from the prior quarter.
SCWorx (WORX) Total Current Liabilities (2015 - 2026) Analysis & Trends
At the end of FY2025, SCWorx's Total Current Liabilities came in at $743,596, down 59.5% from FY2024.
- Annual Total Current Liabilities shows a five-year compound annual growth rate of -30.5% (FY2020 to FY2025).
- In prior years, SCWorx's Total Current Liabilities was $1.84 million in FY2024 (-21.3%), $2.33 million in FY2023 (+0.5%), $2.32 million in FY2022 (+1.7%) and $2.28 million in FY2021 (-50.3%).
- Quarterly Total Current Liabilities has run from a low of $726,904 in Q1 2026 to a high of $3.32 million in Q3 2021 over five years.
- On a year-over-year basis, Total Current Liabilities has declined in each of the last eight quarters, with an average decline of 41.5% over the last eight quarters.
- The strongest year-over-year quarter for Total Current Liabilities in the past five years was Q2 2024, with growth of 24.2%; the weakest was Q4 2025, with a decline of 59.5%.
- According to Business Quant data, Total Current Liabilities for the three prior quarters was $726,904 (Q1 2026), $743,596 (Q4 2025) and $1.18 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | 206,170.00 |
| 2 | Veeva Systems | 45.35 Bn | 17.59 Bn | 695.95 Mn | 1.46 Bn |
| 3 | Samsara | 22.20 Bn | 18.97 Bn | 392.58 Mn | 968.09 Mn |
| 4 | Toast | 17.53 Bn | 10.20 Bn | 516.00 Mn | 1.10 Bn |
| 5 | Ptc | 15.47 Bn | 14.28 Bn | 490.47 Mn | 1.34 Bn |
| 6 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | 1.41 Bn |
| 7 | Duolingo | 12.56 Bn | 7.73 Bn | 216.74 Mn | 577.83 Mn |
| 8 | Manhattan Associates | 11.77 Bn | 10.77 Bn | 168.33 Mn | 475.05 Mn |
| 9 | Costar | 10.95 Bn | 4.91 Bn | 728.00 Mn | 747.00 Mn |
| 10 | SCWorx | 294,587.70 | -4.64 Mn | 330,423.00 | 775,632.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 775,632.00 |
| Mar 31, 2026 | 726,904.00 |
| Dec 31, 2025 | 743,596.00 |
| Sep 30, 2025 | 1.18 Mn |
| Jun 30, 2025 | 1.19 Mn |
| Mar 31, 2025 | 1.56 Mn |
| Dec 31, 2024 | 1.84 Mn |
| Sep 30, 2024 | 2.03 Mn |
| Jun 30, 2024 | 2.91 Mn |
| Mar 31, 2024 | 2.64 Mn |
| Dec 31, 2023 | 2.33 Mn |
| Sep 30, 2023 | 2.56 Mn |
| Jun 30, 2023 | 2.34 Mn |
| Mar 31, 2023 | 2.62 Mn |
| Dec 31, 2022 | 2.32 Mn |
| Sep 30, 2022 | 2.33 Mn |
| Jun 30, 2022 | 2.63 Mn |
| Mar 31, 2022 | 2.84 Mn |
| Dec 31, 2021 | 2.28 Mn |
| Sep 30, 2021 | 3.32 Mn |
SCWorx 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=WORX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-liabilities", "ticker": "WORX", "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=WORX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();