Senstar Technologies (SNT) Operating Expenses (2022 - 2026)
Senstar Technologies (SNT) recorded Operating Expenses of $6.36 million in the quarter ended Jun 30, 2026, up 17.7% from $5.41 million a year earlier and up 16.7% from the prior quarter.
Senstar Technologies (SNT) Operating Expenses (2022 - 2026) Analysis & Trends
On a TTM basis, Senstar Technologies' Operating Expenses came in at $22.61 million as of Jun 30, 2026, up 13.4% year-over-year; for the year ended Dec 31, 2025, it was $20.83 million, up 9.4% from the prior year.
- Annual Operating Expenses has a four-year compound annual growth rate of -0.1% (years ended Dec 2021 to Dec 2025).
- Across earlier years, Operating Expenses came in at $19.03 million in the year ended Dec 31, 2024 (-5.4%), $20.11 million in the year ended Dec 31, 2023 (+0.5%), $20.02 million in the year ended Dec 31, 2022 (-4.2%) and $20.9 million in the year ended Dec 31, 2021.
- The figure for the quarter ended Jun 30, 2026 is the highest quarterly Operating Expenses in data going back to the quarter ended Dec 31, 2022.
- On a year-over-year basis, Operating Expenses has increased for seven consecutive quarters, with growth averaging 9.6% over the last eight quarters.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 18.0% in the quarter ended Jun 30, 2025, against a decline of 14.5% in the quarter ended Mar 31, 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $5.45 million (quarter ended Mar 31, 2026), $5.55 million (quarter ended Dec 31, 2025) and $5.24 million (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 156.94 Bn | 117.34 Bn | 6.13 Bn | 15.54 Bn |
| 2 | Cintas | 85.82 Bn | 84.90 Bn | 1.55 Bn | 841.66 Mn |
| 3 | Iron Mountain | 34.31 Bn | 33.83 Bn | 1.07 Bn | 1.66 Bn |
| 4 | APi | 17.63 Bn | 14.67 Bn | 703.00 Mn | 528.00 Mn |
| 5 | Rollins | 16.27 Bn | 15.81 Bn | 582.90 Mn | 866.81 Mn |
| 6 | Aramark | 14.63 Bn | 12.65 Bn | 430.34 Mn | 4.84 Bn |
| 7 | UL Solutions | 14.58 Bn | 13.37 Bn | 417.00 Mn | 267.00 Mn |
| 8 | Gartner | 13.95 Bn | 7.64 Bn | 1.19 Bn | 1.30 Bn |
| 9 | Rentokil Initial | 11.56 Bn | 5.08 Bn | - | - |
| 10 | Senstar Technologies | 36.40 Mn | -26.32 Mn | 6.71 Mn | 6.36 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 6.36 Mn |
| Mar 31, 2026 | 5.45 Mn |
| Dec 31, 2025 | 5.55 Mn |
| Sep 30, 2025 | 5.24 Mn |
| Jun 30, 2025 | 5.41 Mn |
| Mar 31, 2025 | 4.63 Mn |
| Dec 31, 2024 | 5.13 Mn |
| Sep 30, 2024 | 4.77 Mn |
| Jun 30, 2024 | 4.58 Mn |
| Mar 31, 2024 | 4.55 Mn |
| Dec 31, 2023 | 4.80 Mn |
| Sep 30, 2023 | 4.95 Mn |
| Jun 30, 2023 | 5.04 Mn |
| Mar 31, 2023 | 5.33 Mn |
| Dec 31, 2022 | 4.69 Mn |
Senstar Technologies Operating Expenses 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=operating-expenses&ticker=SNT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=SNT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();