Senstar Technologies (SNT) Price to Earnings (2023 - 2026)
Senstar Technologies' (SNT) Price to Earnings came in at 91.52 for the quarter ended Jun 30, 2026, up 325.8% from 21.50 a year earlier and up 76.7% from the prior quarter.
Senstar Technologies (SNT) Price to Earnings (2023 - 2026) Analysis & Trends
For the year ended Dec 31, 2025, Senstar Technologies' Price to Earnings stood at 35.03, up 15.1% from the prior year.
- In prior years, Senstar Technologies' Price to Earnings was 30.43 in the year ended Dec 31, 2024, 7.67 in the year ended Dec 31, 2022 (-29.2%) and 10.82 in the year ended Dec 31, 2021.
- The figure for the quarter ended Jun 30, 2026 stands as the highest quarterly Price to Earnings since the quarter ended Jun 30, 2024.
- On a year-over-year basis, Price to Earnings has increased in each of the last three quarters, with growth averaging 81.7% over the last six quarters.
- According to Business Quant data, Price to Earnings for the three prior quarters was 51.79 (quarter ended Mar 31, 2026), 35.04 (quarter ended Dec 31, 2025) and 23.98 (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Accenture | 132.79 Bn | 93.20 Bn | 6.13 Bn |
| 2 | Cintas | 77.24 Bn | 76.43 Bn | 1.48 Bn |
| 3 | Iron Mountain | 33.76 Bn | 33.28 Bn | 1.07 Bn |
| 4 | APi | 17.50 Bn | 14.54 Bn | 703.00 Mn |
| 5 | Aramark | 14.64 Bn | 12.66 Bn | 430.34 Mn |
| 6 | Rollins | 14.51 Bn | 14.06 Bn | 569.95 Mn |
| 7 | UL Solutions | 13.33 Bn | 12.11 Bn | 417.00 Mn |
| 8 | Gartner | 11.67 Bn | 5.36 Bn | 1.19 Bn |
| 9 | Rentokil Initial | 10.08 Bn | 3.42 Bn | - |
| 10 | Senstar Technologies | 35.23 Mn | -27.49 Mn | 6.71 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 91.52 |
| Mar 31, 2026 | 51.79 |
| Dec 31, 2025 | 35.04 |
| Sep 30, 2025 | 23.98 |
| Jun 30, 2025 | 21.50 |
| Mar 31, 2025 | 18.33 |
| Dec 31, 2024 | 30.43 |
| Sep 30, 2024 | 25.30 |
| Jun 30, 2024 | 723.41 |
| Sep 30, 2023 | 14.96 |
Senstar Technologies Price to Earnings 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=price-to-earnings&ticker=SNT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "ticker": "SNT", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=price-to-earnings&ticker=SNT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();