SenesTech (SNES) Total Liabilities (2015 - 2026)
SenesTech (SNES) posted Total Liabilities of $3.55 million for Q3 2026, up 8.2% from $3.28 million a year earlier and up 5.2% from the prior quarter.
SenesTech (SNES) Total Liabilities (2015 - 2026) Analysis & Trends
At the end of FY2025, SenesTech's Total Liabilities came in at $3.28 million, up 327.0% from FY2024.
- Annual Total Liabilities shows a five-year compound annual growth rate of 8.9% (FY2020 to FY2025).
- In prior years, SenesTech's Total Liabilities was $767,000 in FY2024 (-18.6%), $942,000 in FY2023 (-37.3%), $1.5 million in FY2022 (+2.5%) and $1.47 million in FY2021 (-31.4%).
- The Q3 2026 figure stands as the highest quarterly Total Liabilities since Q4 2015.
- On a year-over-year basis, Total Liabilities increased in five of the last eight quarters, with growth averaging 154.6%.
- The strongest year-over-year quarter for Total Liabilities in the past five years was Q1 2026, with growth of 358.0%; the weakest was Q3 2023, with a decline of 41.9%.
- According to Business Quant data, Total Liabilities for the three prior quarters was $3.37 million (Q2 2026), $3.36 million (Q1 2026) and $3.28 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 241.51 Bn | 225.21 Bn | 4.44 Bn | 47.09 Bn |
| 2 | Corning | 98.25 Bn | 90.55 Bn | 1.81 Bn | 19.84 Bn |
| 3 | Sherwin Williams | 84.58 Bn | 83.60 Bn | 3.28 Bn | 22.98 Bn |
| 4 | Air Products & Chemicals | 70.48 Bn | 73.35 Bn | - | 24.06 Bn |
| 5 | LyondellBasell Industries | 41.62 Bn | 29.79 Bn | 1.50 Bn | 23.49 Bn |
| 6 | Nutrien | 34.33 Bn | 30.91 Bn | 1.86 Bn | 26.93 Bn |
| 7 | Ppg Industries | 27.05 Bn | 20.12 Bn | 1.76 Bn | 13.95 Bn |
| 8 | Ati | 24.87 Bn | 22.95 Bn | 380.20 Mn | 3.43 Bn |
| 9 | Qnity Electronics | 24.73 Bn | 21.17 Bn | 743.00 Mn | 6.83 Bn |
| 10 | SenesTech | 4.71 Mn | -19.70 Mn | 796,000.00 | 3.55 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 3.55 Mn |
| Jun 30, 2026 | 3.37 Mn |
| Mar 31, 2026 | 3.36 Mn |
| Dec 31, 2025 | 3.28 Mn |
| Sep 30, 2025 | 3.28 Mn |
| Jun 30, 2025 | 3.39 Mn |
| Mar 31, 2025 | 734,000.00 |
| Dec 31, 2024 | 767,000.00 |
| Sep 30, 2024 | 798,000.00 |
| Jun 30, 2024 | 923,000.00 |
| Mar 31, 2024 | 862,000.00 |
| Dec 31, 2023 | 942,000.00 |
| Sep 30, 2023 | 1.11 Mn |
| Jun 30, 2023 | 1.04 Mn |
| Mar 31, 2023 | 1.15 Mn |
| Dec 31, 2022 | 1.50 Mn |
| Sep 30, 2022 | 1.91 Mn |
| Jun 30, 2022 | 1.65 Mn |
| Mar 31, 2022 | 1.38 Mn |
| Dec 31, 2021 | 1.47 Mn |
SenesTech Total Liabilities 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=total-liabilities&ticker=SNES&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=SNES&period=max&api_key=YOUR_API_KEY");
const data = await res.json();