SenesTech (SNES) Return on Capital Employed [ROCE] (2018 - 2026)
SenesTech (SNES) reported Return on Capital Employed [ROCE] of -78.02% for Q2 2026, up 20.30 percentage points from -98.31% a year earlier but down 14.82 percentage points from the prior quarter.
SenesTech (SNES) Return on Capital Employed [ROCE] (2018 - 2026) Analysis & Trends
For FY2025, SenesTech posted Return on Capital Employed [ROCE] of -89.57%, up 42.70 percentage points from FY2024.
- Return on Capital Employed [ROCE] has a five-year change of +78.98 percentage points (FY2020 to FY2025).
- By year, Return on Capital Employed [ROCE] came in at -132.27% in FY2024 (-8.59 pp), -123.68% in FY2023 (+0.07 pp), -123.75% in FY2022 (-7.03 pp) and -116.72% in FY2021 (+51.84 pp).
- Five-year quarterly Return on Capital Employed [ROCE] spans a low of -287.69% in Q3 2023 and a high of -50.07% in Q3 2025.
- Year over year, Return on Capital Employed [ROCE] has now increased in each of the last five quarters, with an average year-over-year change of +64.86 percentage points over the last eight quarters.
- The high point for year-over-year Return on Capital Employed [ROCE] in five years was Q1 2026 (a gain of 145.43 percentage points); the low point was Q3 2022 (a drop of 156.95 percentage points).
- Per Business Quant data, the three quarters before Q2 2026 came in at -63.20% (Q1 2026), -50.29% (Q4 2025) and -50.07% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 221.03 Bn | 204.14 Bn | 4.43 Bn | 13.17% |
| 2 | Corning | 141.47 Bn | 134.60 Bn | 1.63 Bn | 9.96% |
| 3 | Sherwin Williams | 77.59 Bn | 76.63 Bn | 3.34 Bn | 23.44% |
| 4 | Air Products & Chemicals | 61.84 Bn | 59.74 Bn | 1.04 Bn | -1.63% |
| 5 | LyondellBasell Industries | 37.84 Bn | 27.46 Bn | 2.04 Bn | 3.55% |
| 6 | Nutrien | 33.77 Bn | 30.64 Bn | 3.25 Bn | 24.09% |
| 7 | Qnity Electronics | 27.51 Bn | 24.93 Bn | 666.00 Mn | 10.47% |
| 8 | Ati | 26.21 Bn | 24.36 Bn | 309.80 Mn | 17.58% |
| 9 | Ppg Industries | 23.37 Bn | 16.17 Bn | 1.81 Bn | 13.38% |
| 10 | SenesTech | 4.14 Mn | -26.62 Mn | 567,000.00 | -78.02% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -78.02% |
| Mar 31, 2026 | -63.20% |
| Dec 31, 2025 | -50.29% |
| Sep 30, 2025 | -50.07% |
| Jun 30, 2025 | -98.31% |
| Mar 31, 2025 | -208.63% |
| Dec 31, 2024 | -189.22% |
| Sep 30, 2024 | -186.11% |
| Jun 30, 2024 | -178.59% |
| Mar 31, 2024 | -132.86% |
| Dec 31, 2023 | -161.27% |
| Sep 30, 2023 | -287.69% |
| Jun 30, 2023 | -267.01% |
| Mar 31, 2023 | -199.81% |
| Dec 31, 2022 | -212.52% |
| Sep 30, 2022 | -218.57% |
| Jun 30, 2022 | -136.89% |
| Mar 31, 2022 | -99.15% |
| Dec 31, 2021 | -77.66% |
| Sep 30, 2021 | -61.62% |
SenesTech Return on Capital Employed [ROCE] 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-capital-employed-%5Broce%5D&ticker=SNES&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "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=return-on-capital-employed-%5Broce%5D&ticker=SNES&period=max&api_key=YOUR_API_KEY");
const data = await res.json();