QS Energy (QSEP) Total Current Liabilities (2009 - 2026)
QS Energy (QSEP) posted Total Current Liabilities of $5.87 million for Q1 2026, up 19.4% from $4.92 million a year earlier but down 1.1% from the prior quarter.
QS Energy (QSEP) Total Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, QS Energy's Total Current Liabilities came in at $5.93 million, up 1.2% from FY2024.
- Annual Total Current Liabilities has increased for 11 consecutive years, with a five-year compound annual growth rate of 10.4% (FY2020 to FY2025).
- In prior years, QS Energy's Total Current Liabilities was $5.86 million in FY2024 (+10.0%), $5.33 million in FY2023 (+9.9%), $4.85 million in FY2022 (+11.5%) and $4.35 million in FY2021 (+20.0%).
- Quarterly Total Current Liabilities has run from a low of $4.06 million in Q2 2021 to a high of $5.93 million in Q4 2025 over five years.
- On a year-over-year basis, Total Current Liabilities increased in five of the last eight quarters, with growth averaging 3.1%.
- The strongest year-over-year quarter for Total Current Liabilities in the past five years was Q2 2021, with growth of 22.9%; the weakest was Q2 2025, with a decline of 13.9%.
- According to Business Quant data, Total Current Liabilities for the three prior quarters was $5.93 million (Q4 2025), $5.55 million (Q3 2025) and $4.9 million (Q2 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 267.46 Bn | 238.77 Bn | 7.35 Bn | 40.67 Bn |
| 2 | Amphenol | 197.37 Bn | 192.21 Bn | 4.02 Bn | 10.04 Bn |
| 3 | Deere | 185.36 Bn | 194.13 Bn | 4.66 Bn | - |
| 4 | Eaton | 137.64 Bn | 134.62 Bn | 3.11 Bn | 12.99 Bn |
| 5 | Parker-Hannifin | 121.80 Bn | 119.79 Bn | 2.26 Bn | 9.22 Bn |
| 6 | 3M | 97.84 Bn | 80.25 Bn | 2.78 Bn | 11.87 Bn |
| 7 | Emerson Electric | 93.37 Bn | 85.86 Bn | 2.74 Bn | 10.12 Bn |
| 8 | Illinois Tool Works | 81.86 Bn | 78.53 Bn | 1.91 Bn | 5.10 Bn |
| 9 | Vertiv Holdings | 74.77 Bn | 63.62 Bn | 1.64 Bn | 8.71 Bn |
| 10 | QS Energy | 28.23 Mn | 28.02 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 5.87 Mn |
| Dec 31, 2025 | 5.93 Mn |
| Sep 30, 2025 | 5.55 Mn |
| Jun 30, 2025 | 4.90 Mn |
| Mar 31, 2025 | 4.92 Mn |
| Dec 31, 2024 | 5.86 Mn |
| Sep 30, 2024 | 5.80 Mn |
| Jun 30, 2024 | 5.69 Mn |
| Mar 31, 2024 | 5.47 Mn |
| Dec 31, 2023 | 5.33 Mn |
| Sep 30, 2023 | 5.28 Mn |
| Jun 30, 2023 | 5.06 Mn |
| Mar 31, 2023 | 4.91 Mn |
| Dec 31, 2022 | 4.85 Mn |
| Sep 30, 2022 | 4.74 Mn |
| Jun 30, 2022 | 4.63 Mn |
| Mar 31, 2022 | 4.54 Mn |
| Dec 31, 2021 | 4.35 Mn |
| Sep 30, 2021 | 4.18 Mn |
| Jun 30, 2021 | 4.06 Mn |
QS Energy Total Current 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-current-liabilities&ticker=QSEP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-liabilities", "ticker": "QSEP", "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-current-liabilities&ticker=QSEP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();