SCWorx (WORX) Operating Expenses (2015 - 2026)
SCWorx (WORX) posted Operating Expenses of $451,377 for Q2 2026, down 4.8% from $473,944 a year earlier and down 11.5% from the prior quarter.
SCWorx (WORX) Operating Expenses (2015 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at SCWorx was $1.89 million, down 5.7% year-over-year; for FY2025, it came in at $1.88 million, down 6.3% from FY2024.
- Annual Operating Expenses has declined for six consecutive years, with a five-year compound annual growth rate of -30.1% (FY2020 to FY2025).
- In prior years, SCWorx's Operating Expenses was $2.01 million in FY2024 (-26.3%), $2.72 million in FY2023 (-23.1%), $3.54 million in FY2022 (-58.1%) and $8.45 million in FY2021 (-25.0%).
- Quarterly Operating Expenses has run from a low of -$1.34 million in Q4 2022 to a high of $2.11 million in Q4 2021 over five years.
- On a year-over-year basis, Operating Expenses increased in four of the last eight quarters, with an average decline of 3.6%.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q4 2021, with growth of 42.1%; the weakest was Q2 2023, with a decline of 66.3%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $509,923 (Q1 2026), $542,837 (Q4 2025) and $390,784 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | 178,646.00 |
| 2 | Veeva Systems | 45.35 Bn | 17.59 Bn | 695.95 Mn | 420.93 Mn |
| 3 | Samsara | 22.20 Bn | 18.97 Bn | 392.58 Mn | 387.71 Mn |
| 4 | Toast | 17.53 Bn | 10.20 Bn | 516.00 Mn | 364.00 Mn |
| 5 | Ptc | 15.47 Bn | 14.28 Bn | 490.47 Mn | 323.96 Mn |
| 6 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | 542.90 Mn |
| 7 | Duolingo | 12.56 Bn | 7.73 Bn | 216.74 Mn | 182.80 Mn |
| 8 | Manhattan Associates | 11.77 Bn | 10.77 Bn | 168.33 Mn | 231.56 Mn |
| 9 | Costar | 10.95 Bn | 4.91 Bn | 728.00 Mn | 652.00 Mn |
| 10 | SCWorx | 294,587.70 | -4.64 Mn | 330,423.00 | 451,377.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 451,377.00 |
| Mar 31, 2026 | 509,923.00 |
| Dec 31, 2025 | 542,837.00 |
| Sep 30, 2025 | 390,784.00 |
| Jun 30, 2025 | 473,944.00 |
| Mar 31, 2025 | 470,860.00 |
| Dec 31, 2024 | 538,774.00 |
| Sep 30, 2024 | 526,074.00 |
| Jun 30, 2024 | 553,473.00 |
| Mar 31, 2024 | 387,090.00 |
| Dec 31, 2023 | 391,531.00 |
| Sep 30, 2023 | 1.10 Mn |
| Jun 30, 2023 | 523,532.00 |
| Mar 31, 2023 | 707,404.00 |
| Dec 31, 2022 | -1.34 Mn |
| Sep 30, 2022 | 1.53 Mn |
| Jun 30, 2022 | 1.56 Mn |
| Mar 31, 2022 | 1.80 Mn |
| Dec 31, 2021 | 2.11 Mn |
| Sep 30, 2021 | 2.10 Mn |
SCWorx Operating 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=operating-expenses&ticker=WORX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=WORX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();