Evogene (EVGN) Total Non-Current Liabilities (2016 - 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.
Evogene (EVGN) Total Non-Current Liabilities (2016 - 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 Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 323.81 Bn | 308.88 Bn | 2.30 Bn | 19.68 Bn |
| 2 | CrowdStrike Holdings | 271.09 Bn | 251.53 Bn | 1.10 Bn | 6.57 Bn |
| 3 | Fortinet | 131.14 Bn | 117.07 Bn | 1.64 Bn | 9.17 Bn |
| 4 | Snowflake | 119.71 Bn | 107.03 Bn | 1.04 Bn | 6.45 Bn |
| 5 | Datadog | 98.30 Bn | 79.94 Bn | 881.34 Mn | 3.16 Bn |
| 6 | Okta | 34.95 Bn | 25.05 Bn | 641.00 Mn | 2.11 Bn |
| 7 | Axon Enterprise | 34.32 Bn | 28.85 Bn | 546.45 Mn | 3.68 Bn |
| 8 | Zscaler | 32.52 Bn | 18.64 Bn | - | 5.20 Bn |
| 9 | Baidu | 29.56 Bn | -44.07 Bn | 1.47 Mn | 12.63 Bn |
| 10 | Evogene | 3.49 Mn | 12.55 Mn | 141,000.00 | 4.63 Mn |
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 |
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_KEY
import 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();