SCWorx (WORX) Selling, General & Administrative (2015 - 2026)
SCWorx's Selling, General & Administrative was $187,040 in Q2 2026, down 9.8% from $207,329 a year earlier and down 11.0% from the prior quarter.
SCWorx (WORX) Selling, General & Administrative (2015 - 2026) Analysis & Trends
On a trailing twelve-month basis, SCWorx's Selling, General & Administrative was $860,688 through Jun 30, 2026, up 5.9% year-over-year; for FY2025, it was $853,343, up 12.9% from FY2024.
- Selling, General & Administrative shows a five-year compound annual growth rate of -35.7% (FY2020 to FY2025).
- In earlier years, Selling, General & Administrative was $756,115 in FY2024 (-37.4%), $1.21 million in FY2023 (+6.1%), $1.14 million in FY2022 (-79.9%) and $5.66 million in FY2021 (-26.8%).
- The Q2 2026 figure marks the lowest quarterly Selling, General & Administrative since Q1 2025.
- Compared with a year earlier, Selling, General & Administrative was higher in six of the last eight quarters, with growth averaging 2.4%.
- The best year-over-year quarter for Selling, General & Administrative over five years was Q4 2021 (growth of 108.8%); the worst was Q1 2023 (a decline of 83.1%).
- Per Business Quant data, WORX's Selling, General & Administrative in the three quarters before Q2 2026 was $210,237 (Q1 2026), $265,265 (Q4 2025) and $198,146 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | 178,646.00 |
| 2 | Veeva Systems | 44.24 Bn | 16.49 Bn | 695.95 Mn | 71.31 Mn |
| 3 | Samsara | 24.06 Bn | 20.83 Bn | 392.58 Mn | 67.38 Mn |
| 4 | Toast | 17.18 Bn | 9.85 Bn | 516.00 Mn | 89.00 Mn |
| 5 | Ptc | 15.95 Bn | 14.76 Bn | 490.47 Mn | 59.97 Mn |
| 6 | Duolingo | 13.49 Bn | 8.67 Bn | 216.74 Mn | 50.59 Mn |
| 7 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | 149.70 Mn |
| 8 | Manhattan Associates | 11.90 Bn | 10.90 Bn | 168.33 Mn | 26.74 Mn |
| 9 | Costar | 11.09 Bn | 5.06 Bn | 728.00 Mn | 114.00 Mn |
| 10 | SCWorx | 360,646.76 | -4.57 Mn | 330,423.00 | 187,040.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 187,040.00 |
| Mar 31, 2026 | 210,237.00 |
| Dec 31, 2025 | 265,265.00 |
| Sep 30, 2025 | 198,146.00 |
| Jun 30, 2025 | 207,329.00 |
| Mar 31, 2025 | 182,603.00 |
| Dec 31, 2024 | 226,110.00 |
| Sep 30, 2024 | 196,991.00 |
| Jun 30, 2024 | 173,442.00 |
| Mar 31, 2024 | 159,572.00 |
| Dec 31, 2023 | 170,221.00 |
| Sep 30, 2023 | 672,801.00 |
| Jun 30, 2023 | 179,393.00 |
| Mar 31, 2023 | 185,791.00 |
| Dec 31, 2022 | -1.73 Mn |
| Sep 30, 2022 | 832,715.00 |
| Jun 30, 2022 | 932,239.00 |
| Mar 31, 2022 | 1.10 Mn |
| Dec 31, 2021 | 1.48 Mn |
| Sep 30, 2021 | 1.38 Mn |
SCWorx Selling, General & Administrative 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=selling-general-and-administrative&ticker=WORX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=WORX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();