Atomera (ATOM) Total Current Liabilities (2015 - 2026)
Atomera's Total Current Liabilities came in at $2.29 million for Q2 2026, down 18.1% from $2.79 million a year earlier but up 5.2% from the prior quarter.
Atomera (ATOM) Total Current Liabilities (2015 - 2026) Analysis & Trends
At the end of FY2025, Atomera's Total Current Liabilities was $2 million, down 44.1% from FY2024.
- Total Current Liabilities carries a five-year compound annual growth rate of 6.7% (FY2020 to FY2025).
- Going back by year, Total Current Liabilities was $3.58 million in FY2024 (-6.2%), $3.81 million in FY2023 (+31.2%), $2.91 million in FY2022 (+5.6%) and $2.75 million in FY2021 (+90.1%).
- The five-year range for quarterly Total Current Liabilities is $2 million (Q4 2025) to $3.81 million (Q4 2023).
- Year-over-year, Total Current Liabilities has declined for seven consecutive quarters, with an average decline of 13.0% over the last eight quarters.
- The fastest year-over-year change in Total Current Liabilities over five years came in Q2 2022 (growth of 147.3%), and the weakest in Q4 2025 (a decline of 44.1%).
- Business Quant data shows ATOM's Total Current Liabilities at $2.18 million (Q1 2026), $2 million (Q4 2025) and $2.91 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,235.65 Bn | 5,009.82 Bn | 72.14 Bn | 43.02 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,206.84 Bn | 1,831.70 Bn | 27.22 Bn | 58.30 Bn |
| 3 | Broadcom | 1,595.23 Bn | 1,521.27 Bn | 20.46 Bn | 20.84 Bn |
| 4 | Micron Technology | 1,011.16 Bn | 916.79 Bn | 47.05 Bn | 27.48 Bn |
| 5 | Advanced Micro Devices | 874.75 Bn | 831.50 Bn | 6.20 Bn | 12.08 Bn |
| 6 | Asml Holding | 634.65 Bn | 590.34 Bn | 5.90 Bn | 28.50 Bn |
| 7 | Intel | 469.01 Bn | 338.14 Bn | 6.51 Bn | 35.67 Bn |
| 8 | Lam Research | 331.52 Bn | 308.31 Bn | 3.48 Bn | 5.94 Bn |
| 9 | Applied Materials | 321.88 Bn | 287.32 Bn | 4.59 Bn | 10.36 Bn |
| 10 | Atomera | 116.71 Mn | 78.31 Mn | 132,000.00 | 2.29 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.29 Mn |
| Mar 31, 2026 | 2.18 Mn |
| Dec 31, 2025 | 2.00 Mn |
| Sep 30, 2025 | 2.91 Mn |
| Jun 30, 2025 | 2.79 Mn |
| Mar 31, 2025 | 2.86 Mn |
| Dec 31, 2024 | 3.58 Mn |
| Sep 30, 2024 | 3.39 Mn |
| Jun 30, 2024 | 3.14 Mn |
| Mar 31, 2024 | 2.90 Mn |
| Dec 31, 2023 | 3.81 Mn |
| Sep 30, 2023 | 2.95 Mn |
| Jun 30, 2023 | 2.97 Mn |
| Mar 31, 2023 | 2.44 Mn |
| Dec 31, 2022 | 2.91 Mn |
| Sep 30, 2022 | 2.81 Mn |
| Jun 30, 2022 | 2.80 Mn |
| Mar 31, 2022 | 2.49 Mn |
| Dec 31, 2021 | 2.75 Mn |
| Sep 30, 2021 | 2.91 Mn |
Atomera 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=ATOM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-liabilities", "ticker": "ATOM", "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=ATOM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();