Evolv Technologies Holdings (EVLV) Total Non-Current Liabilities (2020 - 2025)
Evolv Technologies Holdings (EVLV) reported Total Non-Current Liabilities of $179.89 million for Q2 2025, up 57.8% from $114 million a year earlier and up 35.9% from the prior quarter.
Evolv Technologies Holdings (EVLV) Total Non-Current Liabilities (2020 - 2025) Analysis & Trends
At the end of FY2024, Evolv Technologies Holdings posted Total Non-Current Liabilities of $146.11 million, up 2.8% from FY2023.
- Total Non-Current Liabilities has increased for three consecutive years, with a four-year compound annual growth rate of 8.2% (FY2020 to FY2024).
- By year, Total Non-Current Liabilities came in at $142.1 million in FY2023 (+27.4%), $111.51 million in FY2022 (+81.2%), $61.55 million in FY2021 (-42.2%) and $106.57 million in FY2020.
- The Q2 2025 figure ranks as the highest quarterly Total Non-Current Liabilities since Q2 2021.
- Year over year, Total Non-Current Liabilities has now increased in each of the last four quarters, with growth averaging 26.4% over the last eight quarters.
- The high point for year-over-year Total Non-Current Liabilities in five years was Q2 2023 (growth of 107.7%); the low point was Q2 2022 (a decline of 74.8%).
- Per Business Quant data, the three quarters before Q2 2025 came in at $132.35 million (Q1 2025), $146.11 million (Q4 2024) and $144.05 million (Q3 2024).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 255.42 Bn | 240.49 Bn | 2.30 Bn | 19.68 Bn |
| 2 | CrowdStrike Holdings | 232.07 Bn | 212.47 Bn | 1.10 Bn | 6.57 Bn |
| 3 | Fortinet | 125.35 Bn | 111.28 Bn | 1.64 Bn | 9.17 Bn |
| 4 | Snowflake | 111.63 Bn | 98.94 Bn | 1.04 Bn | 6.45 Bn |
| 5 | Datadog | 91.35 Bn | 72.99 Bn | 881.34 Mn | 3.16 Bn |
| 6 | Zscaler | 34.43 Bn | 20.55 Bn | - | 5.20 Bn |
| 7 | Okta | 33.87 Bn | 23.97 Bn | 641.00 Mn | 2.11 Bn |
| 8 | Axon Enterprise | 31.65 Bn | 26.18 Bn | 546.45 Mn | 3.62 Bn |
| 9 | MongoDB | 29.46 Bn | 19.93 Bn | 569.77 Mn | 770.18 Mn |
| 10 | Evolv Technologies Holdings | 774.44 Mn | 525.48 Mn | 21.95 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2025 | 179.89 Mn |
| Mar 31, 2025 | 132.35 Mn |
| Dec 31, 2024 | 146.11 Mn |
| Sep 30, 2024 | 144.05 Mn |
| Jun 30, 2024 | 114.00 Mn |
| Mar 31, 2024 | 131.49 Mn |
| Dec 31, 2023 | 142.10 Mn |
| Sep 30, 2023 | 138.19 Mn |
| Jun 30, 2023 | 139.54 Mn |
| Mar 31, 2023 | 93.42 Mn |
| Dec 31, 2022 | 111.51 Mn |
| Sep 30, 2022 | 70.44 Mn |
| Jun 30, 2022 | 67.19 Mn |
| Dec 31, 2021 | 61.22 Mn |
| Sep 30, 2021 | 100.24 Mn |
| Jun 30, 2021 | 261.00 Mn |
| Mar 31, 2021 | 240.70 Mn |
| Dec 31, 2020 | 106.57 Mn |
| Sep 30, 2020 | 240.19 Mn |
Evolv Technologies Holdings 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=EVLV&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "EVLV", "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=EVLV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();