SCWorx (WORX) Total Liabilities (2015 - 2026)
SCWorx (WORX) recorded Total Liabilities of $775,632 in Q2 2026, down 35.1% from $1.2 million a year earlier but up 6.7% from the prior quarter.
Analysis
SCWorx (WORX) Total Liabilities (2015 - 2026) Analysis & Trends
At the end of FY2025, SCWorx reported Total Liabilities of $743,596, down 59.9% from FY2024.
- Annual Total Liabilities has declined for five straight years, with a five-year compound annual growth rate of -31.4% (FY2020 to FY2025).
- Across earlier years, Total Liabilities came in at $1.86 million in FY2024 (-23.4%), $2.42 million in FY2023 (-1.9%), $2.47 million in FY2022 (-9.1%) and $2.72 million in FY2021 (-44.5%).
- Quarterly Total Liabilities has ranged from $726,904 in Q1 2026 to $3.75 million in Q3 2021 over the past five years.
- On a year-over-year basis, Total Liabilities has declined for eight consecutive quarters, with an average decline of 42.1% over the last eight quarters.
- Peak year-over-year performance for Total Liabilities in the last five years was growth of 18.4% in Q2 2024, against a decline of 59.9% in Q4 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $726,904 (Q1 2026), $743,596 (Q4 2025) and $1.18 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | 206,169.00 |
| 2 | Veeva Systems | 45.35 Bn | 17.59 Bn | 695.95 Mn | 1.63 Bn |
| 3 | Samsara | 22.20 Bn | 18.97 Bn | 392.58 Mn | 1.17 Bn |
| 4 | Toast | 17.53 Bn | 10.20 Bn | 516.00 Mn | 1.14 Bn |
| 5 | Ptc | 15.47 Bn | 14.28 Bn | 490.47 Mn | 3.04 Bn |
| 6 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | 3.43 Bn |
| 7 | Duolingo | 12.56 Bn | 7.73 Bn | 216.74 Mn | 664.21 Mn |
| 8 | Manhattan Associates | 11.77 Bn | 10.77 Bn | 168.33 Mn | 541.14 Mn |
| 9 | Costar | 10.95 Bn | 4.91 Bn | 728.00 Mn | 2.19 Bn |
| 10 | SCWorx | 294,587.70 | -4.64 Mn | 330,423.00 | 775,632.00 |
Historic Data
Download Data
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 | 1.20 Mn |
| Mar 31, 2025 | 1.56 Mn |
| Dec 31, 2024 | 1.86 Mn |
| Sep 30, 2024 | 2.04 Mn |
| Jun 30, 2024 | 2.91 Mn |
| Mar 31, 2024 | 2.64 Mn |
| Dec 31, 2023 | 2.42 Mn |
| Sep 30, 2023 | 2.66 Mn |
| Jun 30, 2023 | 2.45 Mn |
| Mar 31, 2023 | 2.75 Mn |
| Dec 31, 2022 | 2.47 Mn |
| Sep 30, 2022 | 2.48 Mn |
| Jun 30, 2022 | 2.92 Mn |
| Mar 31, 2022 | 3.14 Mn |
| Dec 31, 2021 | 2.72 Mn |
| Sep 30, 2021 | 3.75 Mn |
API Access
SCWorx Total 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-liabilities&ticker=WORX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-liabilities&ticker=WORX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();