Flux Power Holdings (FLUX) Total Liabilities (2010 - 2026)
Flux Power Holdings (FLUX) reported Total Liabilities of $21.64 million for fiscal Q4 2026 (quarter ended Jun 30, 2026), down 46.1% from $40.16 million a year earlier but up 3.1% from the prior quarter.
Flux Power Holdings (FLUX) Total Liabilities (2010 - 2026) Analysis & Trends
Dating back to fiscal Q4 2011, Flux Power Holdings' Total Liabilities record includes 58 quarters.
- Total Liabilities has a five-year compound annual growth rate of 8.8% (FY2021 to FY2026).
- By fiscal year, Total Liabilities came in at $40.16 million in FY2025 (+25.1%), $32.11 million in FY2024 (+22.1%), $26.3 million in FY2023 (+55.2%) and $16.95 million in FY2022 (+19.2%).
- Five-year quarterly Total Liabilities spans a low of $14.86 million in fiscal Q1 2022 and a high of $40.16 million in fiscal Q4 2025.
- Year over year, Total Liabilities has now declined in each of the last three quarters, with an average decline of 8.1% over the last eight quarters.
- The high point for year-over-year Total Liabilities in five years was fiscal Q3 2022 (growth of 100.4%); the low point was fiscal Q4 2026 (a decline of 46.1%).
- Per Business Quant data, the three fiscal quarters before Q4 2026 came in at $20.99 million (Q3 2026), $22.58 million (Q2 2026) and $33.02 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | GE Vernova | 252.99 Bn | 214.06 Bn | 2.36 Bn | 67.69 Bn |
| 2 | Bloom Energy | 81.25 Bn | 73.07 Bn | 355.57 Mn | 3.99 Bn |
| 3 | First Solar | 18.82 Bn | 9.78 Bn | 605.00 Mn | 3.07 Bn |
| 4 | BWX Technologies | 12.55 Bn | 10.85 Bn | 202.31 Mn | 3.09 Bn |
| 5 | Generac Holdings | 12.21 Bn | 11.04 Bn | 521.81 Mn | 2.89 Bn |
| 6 | Nextpower | 11.82 Bn | 7.71 Bn | 335.85 Mn | 1.71 Bn |
| 7 | EnerSys | 6.67 Bn | 4.86 Bn | 313.36 Mn | 1.98 Bn |
| 8 | Enphase Energy | 4.36 Bn | -500.13 Mn | 175.01 Mn | 1.74 Bn |
| 9 | Mirion Technologies | 3.45 Bn | 1.34 Bn | 133.10 Mn | 1.65 Bn |
| 10 | Flux Power Holdings | 9.71 Mn | 6.49 Mn | - | 21.64 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 21.64 Mn |
| Mar 31, 2026 | 20.99 Mn |
| Dec 31, 2025 | 22.58 Mn |
| Sep 30, 2025 | 33.02 Mn |
| Jun 30, 2025 | 40.16 Mn |
| Mar 31, 2025 | 34.94 Mn |
| Dec 31, 2024 | 31.70 Mn |
| Sep 30, 2024 | 31.73 Mn |
| Jun 30, 2024 | 32.11 Mn |
| Mar 31, 2024 | 31.97 Mn |
| Dec 31, 2023 | 30.69 Mn |
| Sep 30, 2023 | 29.35 Mn |
| Jun 30, 2023 | 26.30 Mn |
| Mar 31, 2023 | 27.38 Mn |
| Dec 31, 2022 | 24.91 Mn |
| Sep 30, 2022 | 24.56 Mn |
| Jun 30, 2022 | 16.95 Mn |
| Mar 31, 2022 | 22.99 Mn |
| Dec 31, 2021 | 18.21 Mn |
| Sep 30, 2021 | 14.86 Mn |
Flux Power Holdings 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=FLUX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "FLUX", "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=FLUX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();