QHSLab (USAQ) Return on Sales [ROS] (2021 - 2025)
QHSLab (USAQ) reported Return on Sales [ROS] of 5.04% for Q4 2025, down 6.63 percentage points from 11.67% a year earlier and down 8.01 percentage points from the prior quarter.
QHSLab (USAQ) Return on Sales [ROS] (2021 - 2025) Analysis & Trends
For FY2025, QHSLab posted Return on Sales [ROS] of 4.88%, down 4.77 percentage points from FY2024.
- Return on Sales [ROS] has a five-year change of +225.79 percentage points (FY2020 to FY2025).
- By year, Return on Sales [ROS] came in at 9.65% in FY2024 (+26.69 pp), -17.04% in FY2023 (+28.04 pp), -45.09% in FY2022 (-9.58 pp) and -35.51% in FY2021 (+185.40 pp).
- Five-year quarterly Return on Sales [ROS] spans a low of -75.53% in Q3 2022 and a high of 16.37% in Q3 2024.
- Year over year, Return on Sales [ROS] has now declined in each of the last four quarters, with an average year-over-year change of +10.88 percentage points over the last eight quarters.
- The high point for year-over-year Return on Sales [ROS] in five years was Q3 2023 (a gain of 65.05 percentage points); the low point was Q4 2022 (a drop of 21.34 percentage points).
- Per Business Quant data, the three quarters before Q4 2025 came in at 13.06% (Q3 2025), 1.90% (Q2 2025) and -1.87% (Q1 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 52.28 Bn | 24.53 Bn | 695.95 Mn | 29.64% |
| 3 | Samsara | 26.29 Bn | 23.06 Bn | 392.58 Mn | 0.96% |
| 4 | Ptc | 21.46 Bn | 20.27 Bn | 490.47 Mn | 27.75% |
| 5 | Toast | 18.88 Bn | 11.55 Bn | 516.00 Mn | 7.97% |
| 6 | Trimble | 14.81 Bn | 13.87 Bn | 674.90 Mn | 13.58% |
| 7 | Manhattan Associates | 13.89 Bn | 12.88 Bn | 168.33 Mn | 22.24% |
| 8 | Costar | 13.74 Bn | 7.71 Bn | 728.00 Mn | 8.22% |
| 9 | Duolingo | 13.38 Bn | 8.55 Bn | 216.74 Mn | 11.37% |
| 10 | QHSLab | 3.39 Mn | 2.37 Mn | 488,259.00 | 5.04% |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 5.04% |
| Sep 30, 2025 | 13.06% |
| Jun 30, 2025 | 1.90% |
| Mar 31, 2025 | -1.87% |
| Dec 31, 2024 | 11.67% |
| Sep 30, 2024 | 16.37% |
| Jun 30, 2024 | 6.33% |
| Mar 31, 2024 | 2.78% |
| Dec 31, 2023 | -15.37% |
| Sep 30, 2023 | -10.47% |
| Jun 30, 2023 | -8.83% |
| Mar 31, 2023 | -34.23% |
| Dec 31, 2022 | -54.42% |
| Sep 30, 2022 | -75.53% |
| Jun 30, 2022 | -42.84% |
| Mar 31, 2022 | -17.20% |
| Dec 31, 2021 | -33.08% |
| Sep 30, 2021 | -65.37% |
| Jun 30, 2021 | -22.99% |
| Mar 31, 2021 | -25.06% |
QHSLab Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=USAQ&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "USAQ", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=return-on-sales-%5Bros%5D&ticker=USAQ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();