Evogene (EVGN) Total Non-Current Liabilities (2012 - 2026)
Evogene's Total Non-Current Liabilities was $4.63 million in the quarter ended Dec 31, 2025, down 26.9% from $6.33 million a year earlier.
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Analysis
Evogene (EVGN) Total Non-Current Liabilities (2012 - 2026) Analysis & Trends
From the quarter ended Dec 31, 2016 onward, Evogene has reported Total Non-Current Liabilities for 16 quarters.
- Total Non-Current Liabilities has now declined for three consecutive years, with a five-year compound annual growth rate of -2.9% (years ended Dec 2020 to Dec 2025).
- In earlier years, Total Non-Current Liabilities was $6.33 million in the year ended Dec 31, 2024 (-59.1%), $15.47 million in the year ended Dec 31, 2023 (-1.5%), $15.71 million in the year ended Dec 31, 2022 (+161.8%) and $6 million in the year ended Dec 31, 2021 (+12.0%).
- The figure for the quarter ended Dec 31, 2025 marks the lowest quarterly Total Non-Current Liabilities since the quarter ended Dec 31, 2018.
- Compared with a year earlier, Total Non-Current Liabilities was higher in 1 of the last four quarters, with an average decline of 30.5%.
- The best year-over-year quarter for Total Non-Current Liabilities over five years was the quarter ended Jun 30, 2023 (growth of 176.7%); the worst was the quarter ended Jun 30, 2024 (a decline of 70.1%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 289.26 Bn | 274.33 Bn | 2.30 Bn | 19.68 Bn |
| 2 | CrowdStrike Holdings | 243.64 Bn | 224.08 Bn | 1.10 Bn | 6.57 Bn |
| 3 | Fortinet | 126.90 Bn | 112.83 Bn | 1.64 Bn | 9.17 Bn |
| 4 | Snowflake | 110.61 Bn | 97.93 Bn | 1.04 Bn | 6.45 Bn |
| 5 | Datadog | 92.52 Bn | 74.16 Bn | 881.34 Mn | 3.16 Bn |
| 6 | Zscaler | 38.77 Bn | 24.89 Bn | - | 5.20 Bn |
| 7 | Axon Enterprise | 33.68 Bn | 28.20 Bn | 546.45 Mn | 3.62 Bn |
| 8 | Okta | 33.65 Bn | 23.75 Bn | 641.00 Mn | 2.11 Bn |
| 9 | MongoDB | 29.18 Bn | 19.65 Bn | 569.77 Mn | 770.18 Mn |
| 10 | Evogene | 3.31 Mn | -38.91 Mn | 141,000.00 | 4.63 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.63 Mn |
| Dec 31, 2025 | 4.63 Mn |
| Jun 30, 2025 | 6.36 Mn |
| Dec 31, 2024 | 6.33 Mn |
| Jun 30, 2024 | 4.74 Mn |
| Dec 31, 2023 | 15.47 Mn |
| Jun 30, 2023 | 15.84 Mn |
| Dec 31, 2022 | 15.71 Mn |
| Jun 30, 2022 | 5.72 Mn |
| Dec 31, 2021 | 6.00 Mn |
| Jun 30, 2021 | 5.57 Mn |
| Dec 31, 2020 | 5.36 Mn |
| Jun 30, 2020 | 5.31 Mn |
| Dec 31, 2019 | 5.40 Mn |
| Dec 31, 2018 | 2.96 Mn |
| Dec 31, 2017 | 3.56 Mn |
| Dec 31, 2016 | 3.47 Mn |
| Dec 31, 2012 | 24.36 Mn |
API Access
Evogene 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=EVGN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "EVGN", "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=EVGN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();