Omniq (OMQS) Total Non-Current Liabilities (2013 - 2026)
Omniq (OMQS) posted Total Non-Current Liabilities of $39.5 million for Q2 2026, up 6.7% from $37.02 million a year earlier and up 1.1% from the prior quarter.
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Analysis
Omniq (OMQS) Total Non-Current Liabilities (2013 - 2026) Analysis & Trends
At the end of FY2025, Omniq's Total Non-Current Liabilities came in at $38.16 million, down 56.1% from FY2024.
- Annual Total Non-Current Liabilities shows a five-year compound annual growth rate of -2.2% (FY2020 to FY2025).
- In prior years, Omniq's Total Non-Current Liabilities was $86.98 million in FY2024 (+17.5%), $74.05 million in FY2023 (-1.4%), $75.07 million in FY2022 (+5.2%) and $71.37 million in FY2021 (+67.7%).
- The Q2 2026 figure stands as the highest quarterly Total Non-Current Liabilities since Q1 2025.
- On a year-over-year basis, Total Non-Current Liabilities increased in four of the last eight quarters, with an average decline of 21.8%.
- The strongest year-over-year quarter for Total Non-Current Liabilities in the past five years was Q1 2022, with growth of 72.2%; the weakest was Q4 2025, with a decline of 56.1%.
- According to Business Quant data, Total Non-Current Liabilities for the three prior quarters was $39.07 million (Q1 2026), $38.16 million (Q4 2025) and $37.37 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 260.12 Bn | 245.19 Bn | 2.30 Bn | 19.68 Bn |
| 2 | CrowdStrike Holdings | 232.49 Bn | 212.89 Bn | 1.10 Bn | 6.57 Bn |
| 3 | Fortinet | 125.70 Bn | 111.63 Bn | 1.64 Bn | 9.17 Bn |
| 4 | Snowflake | 110.19 Bn | 97.50 Bn | 1.04 Bn | 6.45 Bn |
| 5 | Datadog | 92.71 Bn | 74.35 Bn | 881.34 Mn | 3.16 Bn |
| 6 | Zscaler | 34.07 Bn | 20.19 Bn | - | 5.20 Bn |
| 7 | Okta | 33.06 Bn | 23.16 Bn | 641.00 Mn | 2.11 Bn |
| 8 | Axon Enterprise | 30.90 Bn | 25.43 Bn | 546.45 Mn | 3.62 Bn |
| 9 | MongoDB | 28.04 Bn | 18.51 Bn | 569.77 Mn | 770.18 Mn |
| 10 | Omniq | 1.06 Mn | -2.17 Mn | 1.52 Mn | 39.50 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 39.50 Mn |
| Mar 31, 2026 | 39.07 Mn |
| Dec 31, 2025 | 38.16 Mn |
| Sep 30, 2025 | 37.37 Mn |
| Jun 30, 2025 | 37.02 Mn |
| Mar 31, 2025 | 80.06 Mn |
| Dec 31, 2024 | 86.98 Mn |
| Sep 30, 2024 | 76.85 Mn |
| Jun 30, 2024 | 80.38 Mn |
| Mar 31, 2024 | 74.70 Mn |
| Dec 31, 2023 | 73.98 Mn |
| Sep 30, 2023 | 71.96 Mn |
| Jun 30, 2023 | 71.43 Mn |
| Mar 31, 2023 | 80.92 Mn |
| Dec 31, 2022 | 75.07 Mn |
| Sep 30, 2022 | 77.69 Mn |
| Jun 30, 2022 | 74.45 Mn |
| Mar 31, 2022 | 76.34 Mn |
| Dec 31, 2021 | 71.30 Mn |
| Sep 30, 2021 | 61.85 Mn |
API Access
Omniq Total Non-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-non-current-liabilities&ticker=OMQS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-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-non-current-liabilities&ticker=OMQS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();