Flotek Industries (FTK) Total Liabilities (2010 - 2026)
Flotek Industries (FTK) posted Total Liabilities of $138.82 million for Q2 2026, up 38.3% from $100.39 million a year earlier and up 22.1% from the prior quarter.
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Analysis
Flotek Industries (FTK) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Flotek Industries' Total Liabilities came in at $106.99 million, up 88.0% from FY2024.
- Annual Total Liabilities shows a five-year compound annual growth rate of 22.3% (FY2020 to FY2025).
- In prior years, Flotek Industries' Total Liabilities was $56.9 million in FY2024 (+2.4%), $55.55 million in FY2023 (-65.8%), $162.21 million in FY2022 (+439.8%) and $30.05 million in FY2021 (-23.0%).
- The Q2 2026 figure stands as the highest quarterly Total Liabilities since Q4 2022.
- On a year-over-year basis, Total Liabilities has increased in each of the last five quarters, with growth averaging 56.0% over the last eight quarters.
- The strongest year-over-year quarter for Total Liabilities in the past five years was Q4 2022, with growth of 439.8%; the weakest was Q4 2023, with a decline of 65.8%.
- According to Business Quant data, Total Liabilities for the three prior quarters was $113.67 million (Q1 2026), $106.99 million (Q4 2025) and $102.19 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 218.21 Bn | 201.33 Bn | 4.43 Bn | 47.73 Bn |
| 2 | Corning | 136.71 Bn | 129.84 Bn | 1.63 Bn | 19.83 Bn |
| 3 | Sherwin Williams | 80.23 Bn | 79.27 Bn | 3.34 Bn | 23.10 Bn |
| 4 | Air Products & Chemicals | 62.17 Bn | 60.07 Bn | 1.04 Bn | 23.85 Bn |
| 5 | Corteva | 51.95 Bn | 40.75 Bn | 3.66 Bn | 16.24 Bn |
| 6 | LyondellBasell Industries | 37.59 Bn | 27.21 Bn | 2.04 Bn | 23.80 Bn |
| 7 | Nutrien | 34.30 Bn | 31.17 Bn | 3.25 Bn | 27.62 Bn |
| 8 | Qnity Electronics | 26.28 Bn | 23.71 Bn | 666.00 Mn | 6.79 Bn |
| 9 | Ati | 25.72 Bn | 23.87 Bn | 309.80 Mn | 3.74 Bn |
| 10 | Flotek Industries | 1.03 Bn | 1.01 Bn | 23.78 Mn | 138.82 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 138.82 Mn |
| Mar 31, 2026 | 113.67 Mn |
| Dec 31, 2025 | 106.99 Mn |
| Sep 30, 2025 | 102.19 Mn |
| Jun 30, 2025 | 100.39 Mn |
| Mar 31, 2025 | 50.53 Mn |
| Dec 31, 2024 | 56.90 Mn |
| Sep 30, 2024 | 51.64 Mn |
| Jun 30, 2024 | 49.81 Mn |
| Mar 31, 2024 | 51.95 Mn |
| Dec 31, 2023 | 55.55 Mn |
| Sep 30, 2023 | 52.91 Mn |
| Jun 30, 2023 | 60.03 Mn |
| Mar 31, 2023 | 106.25 Mn |
| Dec 31, 2022 | 162.21 Mn |
| Sep 30, 2022 | 143.52 Mn |
| Jun 30, 2022 | 124.91 Mn |
| Mar 31, 2022 | 59.11 Mn |
| Dec 31, 2021 | 30.05 Mn |
| Sep 30, 2021 | 29.27 Mn |
API Access
Flotek Industries 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=FTK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "FTK", "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=FTK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();