SCWorx (WORX) Interest Expenses (2018 - 2026)
SCWorx (WORX) recorded Interest Expenses of $37,953 in 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) Interest Expenses (2018 - 2026) Analysis & Trends
For FY2025, SCWorx reported Interest Expenses of $2.99 million.
- Across earlier years, Interest Expenses came in at $104,201 in FY2024 and $6,448 in FY2023.
- The Q1 2026 figure is the lowest quarterly Interest Expenses since Q3 2024.
- On a year-over-year basis, Interest Expenses rose in three of the last four quarters, with growth averaging 253.0%.
- Per Business Quant, the preceding three quarters came in at $135,155 (Q4 2025), $1.17 million (Q3 2025) and $154,922 (Q2 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 46.20 Bn | 18.45 Bn | 695.95 Mn | - |
| 3 | Samsara | 22.32 Bn | 19.09 Bn | 392.58 Mn | - |
| 4 | Toast | 16.73 Bn | 9.40 Bn | 516.00 Mn | - |
| 5 | Ptc | 15.53 Bn | 14.35 Bn | 490.47 Mn | 15.80 Mn |
| 6 | Duolingo | 13.32 Bn | 8.49 Bn | 216.74 Mn | - |
| 7 | Trimble | 13.32 Bn | 12.38 Bn | 674.90 Mn | 20.90 Mn |
| 8 | Manhattan Associates | 11.58 Bn | 10.58 Bn | 168.33 Mn | - |
| 9 | Costar | 11.10 Bn | 5.07 Bn | 728.00 Mn | - |
| 10 | SCWorx | 276,733.89 | -4.66 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 | 154,922.00 |
| 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 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=interest-expenses&ticker=WORX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=interest-expenses&ticker=WORX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();