Knightscope (KSCP) Return on Sales [ROS] (2020 - 2026)
Knightscope (KSCP) reported Return on Sales [ROS] of -145.09% for Q2 2026, up 82.92 percentage points from -228.01% a year earlier and up 26.58 percentage points from the prior quarter.
Knightscope (KSCP) Return on Sales [ROS] (2020 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Knightscope's Return on Sales [ROS] came in at -213.51%, up 38.29 percentage points year-over-year; for FY2025, it came in at -298.99%, down 24.33 percentage points from FY2024.
- Return on Sales [ROS] has a five-year change of +140.05 percentage points (FY2020 to FY2025).
- By year, Return on Sales [ROS] came in at -274.67% in FY2024 (-69.25 pp), -205.42% in FY2023 (+362.29 pp), -567.71% in FY2022 (+153.01 pp) and -720.72% in FY2021 (-281.68 pp).
- The Q2 2026 figure ranks as the highest quarterly Return on Sales [ROS] in data going back to Q3 2020.
- Year over year, Return on Sales [ROS] gained in four of the last eight quarters, with an average year-over-year change of -6.01 percentage points.
- The high point for year-over-year Return on Sales [ROS] in five years was Q4 2022 (a gain of 675.87 percentage points); the low point was Q4 2021 (a drop of 529.94 percentage points).
- Per Business Quant data, the three quarters before Q2 2026 came in at -171.68% (Q1 2026), -444.72% (Q4 2025) and -303.67% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 159.50 Bn | 117.43 Bn | 5.98 Bn | 15.33% |
| 2 | Cintas | 88.97 Bn | 88.05 Bn | 1.55 Bn | 23.62% |
| 3 | Iron Mountain | 31.77 Bn | 30.97 Bn | 1.06 Bn | 20.63% |
| 4 | Rollins | 18.19 Bn | 17.73 Bn | 582.90 Mn | 20.45% |
| 5 | APi | 17.61 Bn | 14.83 Bn | 770.00 Mn | 7.91% |
| 6 | UL Solutions | 15.91 Bn | 13.91 Bn | 423.00 Mn | 19.68% |
| 7 | Aramark | 13.83 Bn | 11.78 Bn | 430.34 Mn | 4.26% |
| 8 | Gartner | 12.12 Bn | 5.61 Bn | 1.07 Bn | 18.68% |
| 9 | Rentokil Initial | 11.93 Bn | 5.45 Bn | - | - |
| 10 | Knightscope | 8.27 Mn | -52.33 Mn | 664,000.00 | -145.09% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -145.09% |
| Mar 31, 2026 | -171.68% |
| Dec 31, 2025 | -444.72% |
| Sep 30, 2025 | -303.67% |
| Jun 30, 2025 | -228.01% |
| Mar 31, 2025 | -234.08% |
| Dec 31, 2024 | -245.15% |
| Sep 30, 2024 | -305.36% |
| Jun 30, 2024 | -211.08% |
| Mar 31, 2024 | -367.35% |
| Dec 31, 2023 | -243.58% |
| Sep 30, 2023 | -195.04% |
| Jun 30, 2023 | -166.85% |
| Mar 31, 2023 | -225.09% |
| Dec 31, 2022 | -372.60% |
| Sep 30, 2022 | -599.92% |
| Jun 30, 2022 | -694.24% |
| Mar 31, 2022 | -868.96% |
| Dec 31, 2021 | -1,048.46% |
| Sep 30, 2021 | -509.44% |
Knightscope 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=KSCP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "KSCP", "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=KSCP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();