Flexible Solutions International (FSI) Total Liabilities (2010 - 2026)
Flexible Solutions International's Total Liabilities came in at $18.08 million for Q2 2026, up 15.5% from $15.65 million a year earlier but down 15.1% from the prior quarter.
Flexible Solutions International (FSI) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Flexible Solutions International's Total Liabilities was $19 million, up 2.1% from FY2024.
- Total Liabilities has increased in each of the last five years, with a five-year compound annual growth rate of 10.9% (FY2020 to FY2025).
- Going back by year, Total Liabilities was $18.6 million in FY2024 (+8.1%), $17.2 million in FY2023 (+5.2%), $16.35 million in FY2022 (+38.0%) and $11.85 million in FY2021 (+4.7%).
- The five-year range for quarterly Total Liabilities is $11.24 million (Q3 2021) to $21.3 million (Q1 2026).
- Year-over-year, Total Liabilities has increased for three consecutive quarters, with growth averaging 3.0% over the last eight quarters.
- The fastest year-over-year change in Total Liabilities over five years came in Q2 2022 (growth of 61.5%), and the weakest in Q3 2025 (a decline of 12.2%).
- Business Quant data shows FSI's Total Liabilities at $21.3 million (Q1 2026), $19 million (Q4 2025) and $15.36 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 218.80 Bn | 201.92 Bn | 4.43 Bn | 47.73 Bn |
| 2 | Corning | 132.43 Bn | 125.56 Bn | 1.63 Bn | 19.83 Bn |
| 3 | Sherwin Williams | 78.49 Bn | 77.53 Bn | 3.34 Bn | 23.10 Bn |
| 4 | Air Products & Chemicals | 61.97 Bn | 59.87 Bn | 1.04 Bn | 23.85 Bn |
| 5 | Corteva | 51.82 Bn | 40.62 Bn | 3.66 Bn | 16.24 Bn |
| 6 | LyondellBasell Industries | 37.12 Bn | 26.74 Bn | 2.04 Bn | 23.80 Bn |
| 7 | Nutrien | 33.86 Bn | 30.73 Bn | 3.25 Bn | 27.62 Bn |
| 8 | Qnity Electronics | 26.31 Bn | 23.73 Bn | 666.00 Mn | 6.79 Bn |
| 9 | Ati | 25.78 Bn | 23.93 Bn | 309.80 Mn | 3.74 Bn |
| 10 | Flexible Solutions International | 77.50 Mn | 52.76 Mn | -287,766.00 | 18.08 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 18.08 Mn |
| Mar 31, 2026 | 21.30 Mn |
| Dec 31, 2025 | 19.00 Mn |
| Sep 30, 2025 | 15.36 Mn |
| Jun 30, 2025 | 15.65 Mn |
| Mar 31, 2025 | 19.92 Mn |
| Dec 31, 2024 | 18.60 Mn |
| Sep 30, 2024 | 17.50 Mn |
| Jun 30, 2024 | 17.28 Mn |
| Mar 31, 2024 | 18.48 Mn |
| Dec 31, 2023 | 17.20 Mn |
| Sep 30, 2023 | 16.61 Mn |
| Jun 30, 2023 | 15.98 Mn |
| Mar 31, 2023 | 16.70 Mn |
| Dec 31, 2022 | 16.35 Mn |
| Sep 30, 2022 | 16.57 Mn |
| Jun 30, 2022 | 16.50 Mn |
| Mar 31, 2022 | 15.85 Mn |
| Dec 31, 2021 | 11.85 Mn |
| Sep 30, 2021 | 11.24 Mn |
Flexible Solutions International 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=FSI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "FSI", "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=FSI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();