SCWorx (WORX) Non Operating Interest Expenses (2018 - 2026)
SCWorx's Non Operating Interest Expenses came in at $37,953 for Q1 2026, down 73.3% from $142,306 a year earlier and down 71.9% from the prior quarter.
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Analysis
SCWorx (WORX) Non Operating Interest Expenses (2018 - 2026) Analysis & Trends
For FY2025, SCWorx's Non Operating Interest Expenses was $2.99 million.
- Going back by year, Non Operating Interest Expenses was $104,201 in FY2024 and $6,448 in FY2023.
- The Q1 2026 figure represents the lowest quarterly Non Operating Interest Expenses since Q3 2024.
- Business Quant data shows WORX's Non Operating Interest Expenses at $135,155 (Q4 2025), $1.17 million (Q3 2025) and $1.53 million (Q2 2025) in the three quarters before Q1 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 45.35 Bn | 17.59 Bn | 695.95 Mn | - |
| 3 | Samsara | 22.20 Bn | 18.97 Bn | 392.58 Mn | - |
| 4 | Toast | 17.53 Bn | 10.20 Bn | 516.00 Mn | - |
| 5 | Ptc | 15.47 Bn | 14.28 Bn | 490.47 Mn | 15.80 Mn |
| 6 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | 20.90 Mn |
| 7 | Duolingo | 12.56 Bn | 7.73 Bn | 216.74 Mn | - |
| 8 | Manhattan Associates | 11.77 Bn | 10.77 Bn | 168.33 Mn | - |
| 9 | Costar | 10.95 Bn | 4.91 Bn | 728.00 Mn | - |
| 10 | SCWorx | 294,587.70 | -4.64 Mn | 330,423.00 | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 37,953.00 |
| Dec 31, 2025 | 135,155.00 |
| Sep 30, 2025 | 1.17 Mn |
| Jun 30, 2025 | 1.53 Mn |
| Mar 31, 2025 | 142,306.00 |
| Dec 31, 2024 | 42,367.00 |
| Sep 30, 2024 | 31,465.00 |
| Jun 30, 2024 | 30,166.00 |
| Mar 31, 2024 | 203.00 |
| Jun 30, 2023 | 5,459.00 |
| Mar 31, 2019 | 23,720.00 |
| Dec 31, 2018 | 185,666.00 |
| Sep 30, 2018 | 50,000.00 |
API Access
SCWorx Non Operating Interest 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=non-operating-interest-expenses&ticker=WORX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "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=non-operating-interest-expenses&ticker=WORX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();