Flexible Solutions International (FSI) Short-Term Debt repayments (2019 - 2025)
Flexible Solutions International's Short-Term Debt repayments was $152,979 in Q3 2025, down 75.3% from $619,844 a year earlier.
Flexible Solutions International (FSI) Short-Term Debt repayments (2019 - 2025) Analysis & Trends
On a trailing twelve-month basis, Flexible Solutions International's Short-Term Debt repayments was -$102,263 through Sep 30, 2025; for FY2020, it was $273,909, down 32.9% from FY2019.
- In earlier years, Short-Term Debt repayments was $408,149 in FY2019.
- The Q3 2025 figure marks the lowest quarterly Short-Term Debt repayments since Q3 2022.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ST Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 235.79 Bn | 217.37 Bn | 4.43 Bn | - |
| 2 | Corning | 106.66 Bn | 99.23 Bn | 1.63 Bn | - |
| 3 | Sherwin Williams | 84.26 Bn | 83.30 Bn | 3.34 Bn | - |
| 4 | Air Products & Chemicals | 68.55 Bn | 63.74 Bn | 1.04 Bn | - |
| 5 | LyondellBasell Industries | 42.27 Bn | 31.78 Bn | 2.04 Bn | - |
| 6 | Nutrien | 33.55 Bn | 30.38 Bn | 3.25 Bn | - |
| 7 | Ppg Industries | 25.18 Bn | 17.84 Bn | 1.81 Bn | - |
| 8 | International Flavors & Fragrances | 23.86 Bn | 21.52 Bn | 853.00 Mn | 1.49 Bn |
| 9 | Dow | 22.91 Bn | 6.41 Bn | 2.17 Bn | 30.00 Mn |
| 10 | Flexible Solutions International | 82.26 Mn | 53.67 Mn | -287,766.00 | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2025 | 152,979.00 |
| Sep 30, 2024 | 619,844.00 |
| Sep 30, 2022 | -875,086.00 |
| Dec 31, 2020 | -475,691.00 |
| Dec 31, 2019 | -548,896.00 |
| Sep 30, 2019 | 658,914.00 |
Flexible Solutions International Short-Term Debt repayments 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=short-term-debt-repayments&ticker=FSI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "short-term-debt-repayments", "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=short-term-debt-repayments&ticker=FSI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();