Omniq (OMQS) Total Liabilities (2010 - 2026)
Omniq (OMQS) recorded Total Liabilities of $39.96 million in Q2 2026, up 5.9% from $37.75 million a year earlier and up 0.7% from the prior quarter.
Analysis
Omniq (OMQS) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Omniq reported Total Liabilities of $38.87 million, down 55.6% from FY2024.
- Annual Total Liabilities has a five-year compound annual growth rate of -2.3% (FY2020 to FY2025).
- Across earlier years, Total Liabilities came in at $87.48 million in FY2024 (+17.4%), $74.51 million in FY2023 (-1.1%), $75.34 million in FY2022 (+3.5%) and $72.78 million in FY2021 (+66.5%).
- The Q2 2026 figure is the highest quarterly Total Liabilities since Q1 2025.
- On a year-over-year basis, Total Liabilities rose in four of the last eight quarters, with an average decline of 21.6%.
- Peak year-over-year performance for Total Liabilities in the last five years was growth of 67.9% in Q1 2022, against a decline of 55.6% in Q4 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $39.7 million (Q1 2026), $38.87 million (Q4 2025) and $38.1 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 260.12 Bn | 245.19 Bn | 2.30 Bn | 20.97 Bn |
| 2 | CrowdStrike Holdings | 232.49 Bn | 212.89 Bn | 1.10 Bn | 6.89 Bn |
| 3 | Fortinet | 125.70 Bn | 111.63 Bn | 1.64 Bn | 9.31 Bn |
| 4 | Snowflake | 110.19 Bn | 97.50 Bn | 1.04 Bn | 6.54 Bn |
| 5 | Datadog | 92.71 Bn | 74.35 Bn | 881.34 Mn | 3.18 Bn |
| 6 | Zscaler | 34.07 Bn | 20.19 Bn | - | 5.27 Bn |
| 7 | Okta | 33.06 Bn | 23.16 Bn | 641.00 Mn | 2.17 Bn |
| 8 | Axon Enterprise | 30.90 Bn | 25.43 Bn | 546.45 Mn | 3.81 Bn |
| 9 | MongoDB | 28.04 Bn | 18.51 Bn | 569.77 Mn | 797.71 Mn |
| 10 | Omniq | 1.06 Mn | -2.17 Mn | 1.52 Mn | 39.96 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 39.96 Mn |
| Mar 31, 2026 | 39.70 Mn |
| Dec 31, 2025 | 38.87 Mn |
| Sep 30, 2025 | 38.10 Mn |
| Jun 30, 2025 | 37.75 Mn |
| Mar 31, 2025 | 80.60 Mn |
| Dec 31, 2024 | 87.48 Mn |
| Sep 30, 2024 | 77.42 Mn |
| Jun 30, 2024 | 80.97 Mn |
| Mar 31, 2024 | 75.39 Mn |
| Dec 31, 2023 | 74.51 Mn |
| Sep 30, 2023 | 72.25 Mn |
| Jun 30, 2023 | 71.68 Mn |
| Mar 31, 2023 | 81.31 Mn |
| Dec 31, 2022 | 75.34 Mn |
| Sep 30, 2022 | 77.91 Mn |
| Jun 30, 2022 | 74.65 Mn |
| Mar 31, 2022 | 76.48 Mn |
| Dec 31, 2021 | 72.78 Mn |
| Sep 30, 2021 | 63.97 Mn |
API Access
Omniq 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=OMQS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "OMQS", "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=OMQS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();