SenesTech (SNES) Operating Expenses (2018 - 2026)
SenesTech's Operating Expenses was $2.43 million in Q2 2026, up 20.1% from $2.02 million a year earlier but down 1.1% from the prior quarter.
Powered by 
Analysis
SenesTech (SNES) Operating Expenses (2018 - 2026) Analysis & Trends
On a trailing twelve-month basis, SenesTech's Operating Expenses was $8.78 million through Jun 30, 2026, up 18.3% year-over-year; for FY2025, it was $7.89 million, up 8.8% from FY2024.
- Operating Expenses shows a five-year compound annual growth rate of -0.1% (FY2020 to FY2025).
- In earlier years, Operating Expenses was $7.25 million in FY2024 (-12.3%), $8.27 million in FY2023 (-18.4%), $10.14 million in FY2022 (+10.5%) and $9.18 million in FY2021 (+15.7%).
- Quarterly Operating Expenses has moved between $1.56 million (Q4 2024) and $2.74 million (Q3 2022) over five years.
- Compared with a year earlier, Operating Expenses has increased for three straight quarters, with growth averaging 7.0% over the last eight quarters.
- The best year-over-year quarter for Operating Expenses over five years was Q4 2025 (growth of 35.3%); the worst was Q3 2023 (a decline of 22.4%).
- Per Business Quant data, SNES's Operating Expenses in the three quarters before Q2 2026 was $2.46 million (Q1 2026), $2.11 million (Q4 2025) and $1.78 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 221.03 Bn | 204.14 Bn | 4.43 Bn | 928.00 Mn |
| 2 | Corning | 141.47 Bn | 134.60 Bn | 1.63 Bn | 907.00 Mn |
| 3 | Sherwin Williams | 77.59 Bn | 76.63 Bn | 3.34 Bn | 2.10 Bn |
| 4 | Air Products & Chemicals | 61.84 Bn | 59.74 Bn | 1.04 Bn | 3.15 Bn |
| 5 | LyondellBasell Industries | 37.84 Bn | 27.46 Bn | 2.04 Bn | 7.63 Bn |
| 6 | Nutrien | 33.77 Bn | 30.64 Bn | 3.25 Bn | 169.00 Mn |
| 7 | Qnity Electronics | 27.51 Bn | 24.93 Bn | 666.00 Mn | 298.00 Mn |
| 8 | Ati | 26.21 Bn | 24.36 Bn | 309.80 Mn | 99.60 Mn |
| 9 | Ppg Industries | 23.37 Bn | 16.17 Bn | 1.81 Bn | 1.15 Bn |
| 10 | SenesTech | 4.14 Mn | -26.62 Mn | 567,000.00 | 2.43 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.43 Mn |
| Mar 31, 2026 | 2.46 Mn |
| Dec 31, 2025 | 2.11 Mn |
| Sep 30, 2025 | 1.78 Mn |
| Jun 30, 2025 | 2.02 Mn |
| Mar 31, 2025 | 1.98 Mn |
| Dec 31, 2024 | 1.56 Mn |
| Sep 30, 2024 | 1.86 Mn |
| Jun 30, 2024 | 1.85 Mn |
| Mar 31, 2024 | 1.98 Mn |
| Dec 31, 2023 | 1.87 Mn |
| Sep 30, 2023 | 2.13 Mn |
| Jun 30, 2023 | 2.14 Mn |
| Mar 31, 2023 | 2.14 Mn |
| Dec 31, 2022 | 2.27 Mn |
| Sep 30, 2022 | 2.74 Mn |
| Jun 30, 2022 | 2.71 Mn |
| Mar 31, 2022 | 2.42 Mn |
| Dec 31, 2021 | 2.58 Mn |
| Sep 30, 2021 | 2.33 Mn |
API Access
SenesTech 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=SNES&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "SNES", "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=SNES&period=max&api_key=YOUR_API_KEY");
const data = await res.json();