Sentinel Holdings (SNTL) Return on Sales [ROS] (2022 - 2026)
Sentinel Holdings (SNTL) recorded Return on Sales [ROS] of -49.94% in Q2 2026, down 10.96 percentage points from the prior quarter.
Sentinel Holdings (SNTL) Return on Sales [ROS] (2022 - 2026) Analysis & Trends
On a TTM basis, Sentinel Holdings' Return on Sales [ROS] came in at -100.77% as of Jun 30, 2026; for FY2025, it came in at -230.82%.
- Annual Return on Sales [ROS] has a four-year change of +38291.67 percentage points (FY2021 to FY2025).
- Across earlier years, Return on Sales [ROS] came in at -19.13% in FY2023 (+37.81 pp), -56.93% in FY2022 (+38465.55 pp) and -38522.49% in FY2021.
- Quarterly Return on Sales [ROS] has ranged from -2255.39% in Q4 2025 to 24.04% in Q1 2024 over the past five years.
- Per Business Quant, the preceding three quarters came in at -38.98% (Q1 2026), -2255.39% (Q4 2025) and -56.95% (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 | Sentinel Holdings | 15.89 Mn | 14.94 Mn | 35,340.00 | -49.94% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -49.94% |
| Mar 31, 2026 | -38.98% |
| Dec 31, 2025 | -2,255.39% |
| Sep 30, 2025 | -56.95% |
| Sep 30, 2024 | -305.16% |
| Jun 30, 2024 | -210.19% |
| Mar 31, 2024 | 24.04% |
| Dec 31, 2023 | 16.76% |
| Sep 30, 2023 | 6.82% |
| Jun 30, 2023 | -56.71% |
| Mar 31, 2023 | -42.04% |
| Dec 31, 2022 | -622.46% |
| Sep 30, 2022 | -62.13% |
Sentinel Holdings 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=SNTL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "SNTL", "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=SNTL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();