Flexible Solutions International (FSI) Cash & Equivalents (2010 - 2026)
Flexible Solutions International (FSI) posted Cash & Equivalents of $7.2 million for Q2 2026, down 16.4% from $8.61 million a year earlier but up 23.6% from the prior quarter.
Flexible Solutions International (FSI) Cash & Equivalents (2010 - 2026) Analysis & Trends
At the end of FY2025, Flexible Solutions International's Cash & Equivalents came in at $6.63 million, down 13.2% from FY2024.
- Annual Cash & Equivalents shows a five-year compound annual growth rate of 8.2% (FY2020 to FY2025).
- In prior years, Flexible Solutions International's Cash & Equivalents was $7.63 million in FY2024 (+52.1%), $5.02 million in FY2023 (-26.4%), $6.82 million in FY2022 (+1.2%) and $6.74 million in FY2021 (+50.6%).
- Quarterly Cash & Equivalents has run from a low of $4.34 million in Q3 2022 to a high of $10.62 million in Q3 2024 over five years.
- On a year-over-year basis, Cash & Equivalents has declined in each of the last five quarters, with an average decline of 2.7% over the last eight quarters.
- The strongest year-over-year quarter for Cash & Equivalents in the past five years was Q1 2022, with growth of 189.8%; the weakest was Q1 2026, with a decline of 39.6%.
- According to Business Quant data, Cash & Equivalents for the three prior quarters was $5.82 million (Q1 2026), $6.63 million (Q4 2025) and $8.48 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 221.03 Bn | 204.14 Bn | 4.43 Bn | 4.90 Bn |
| 2 | Corning | 141.47 Bn | 134.60 Bn | 1.63 Bn | 2.50 Bn |
| 3 | Sherwin Williams | 77.59 Bn | 76.63 Bn | 3.34 Bn | 293.50 Mn |
| 4 | Air Products & Chemicals | 61.84 Bn | 59.74 Bn | 1.04 Bn | 980.50 Mn |
| 5 | LyondellBasell Industries | 37.84 Bn | 27.46 Bn | 2.04 Bn | 2.63 Bn |
| 6 | Nutrien | 33.77 Bn | 30.64 Bn | 3.25 Bn | 921.00 Mn |
| 7 | Qnity Electronics | 27.51 Bn | 24.93 Bn | 666.00 Mn | 961.00 Mn |
| 8 | Ati | 26.21 Bn | 24.36 Bn | 309.80 Mn | 783.00 Mn |
| 9 | Ppg Industries | 23.37 Bn | 16.17 Bn | 1.81 Bn | 1.52 Bn |
| 10 | Flexible Solutions International | 77.24 Mn | 52.51 Mn | -287,766.00 | 7.20 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 7.20 Mn |
| Mar 31, 2026 | 5.82 Mn |
| Dec 31, 2025 | 6.63 Mn |
| Sep 30, 2025 | 8.48 Mn |
| Jun 30, 2025 | 8.61 Mn |
| Mar 31, 2025 | 9.65 Mn |
| Dec 31, 2024 | 7.63 Mn |
| Sep 30, 2024 | 10.62 Mn |
| Jun 30, 2024 | 9.21 Mn |
| Mar 31, 2024 | 8.33 Mn |
| Dec 31, 2023 | 5.02 Mn |
| Sep 30, 2023 | 9.95 Mn |
| Jun 30, 2023 | 8.42 Mn |
| Mar 31, 2023 | 6.53 Mn |
| Dec 31, 2022 | 6.82 Mn |
| Sep 30, 2022 | 4.34 Mn |
| Jun 30, 2022 | 4.49 Mn |
| Mar 31, 2022 | 5.37 Mn |
| Dec 31, 2021 | 6.74 Mn |
| Sep 30, 2021 | 4.93 Mn |
Flexible Solutions International Cash & Equivalents 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=cash-and-equivalents&ticker=FSI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=FSI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();