Evolv Technologies Holdings (EVLV) Depreciation and Depletion (2020 - 2026)
Evolv Technologies Holdings (EVLV) posted Depreciation and Depletion of $5.3 million for Q2 2026, up 23.3% from $4.3 million a year earlier and up 6.0% from the prior quarter.
Evolv Technologies Holdings (EVLV) Depreciation and Depletion (2020 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Depreciation and Depletion at Evolv Technologies Holdings was $20.2 million, up 0.5% year-over-year; for FY2025, it came in at $18.3 million, up 34.6% from FY2024.
- Annual Depreciation and Depletion has increased for five consecutive years, with a five-year compound annual growth rate of 87.0% (FY2020 to FY2025).
- In prior years, Evolv Technologies Holdings' Depreciation and Depletion was $13.6 million in FY2024 (+76.6%), $7.7 million in FY2023 (+83.3%), $4.2 million in FY2022 (+68.0%) and $2.5 million in FY2021 (+212.5%).
- The Q2 2026 figure stands as the highest quarterly Depreciation and Depletion since Q1 2025.
- On a year-over-year basis, Depreciation and Depletion increased in seven of the last eight quarters, with growth averaging 50.6%.
- The strongest year-over-year quarter for Depreciation and Depletion in the past five years was Q3 2021, with growth of 300.0%; the weakest was Q1 2026, with a decline of 39.0%.
- According to Business Quant data, Depreciation and Depletion for the three prior quarters was $5 million (Q1 2026), $4.9 million (Q4 2025) and $5 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 322.94 Bn | 308.02 Bn | 2.30 Bn | - |
| 2 | CrowdStrike Holdings | 272.46 Bn | 252.90 Bn | 1.10 Bn | - |
| 3 | Fortinet | 131.11 Bn | 117.04 Bn | 1.64 Bn | 31.50 Mn |
| 4 | Snowflake | 120.49 Bn | 107.81 Bn | 1.04 Bn | 26.40 Mn |
| 5 | Datadog | 99.24 Bn | 80.88 Bn | 881.34 Mn | - |
| 6 | Okta | 35.54 Bn | 25.63 Bn | 641.00 Mn | - |
| 7 | Axon Enterprise | 34.30 Bn | 28.82 Bn | 546.45 Mn | - |
| 8 | Zscaler | 32.41 Bn | 18.53 Bn | - | - |
| 9 | Baidu | 29.12 Bn | -44.51 Bn | 1.47 Mn | - |
| 10 | Evolv Technologies Holdings | 851.75 Mn | 602.79 Mn | 21.95 Mn | 5.30 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.30 Mn |
| Mar 31, 2026 | 5.00 Mn |
| Dec 31, 2025 | 4.90 Mn |
| Sep 30, 2025 | 5.00 Mn |
| Jun 30, 2025 | 4.30 Mn |
| Mar 31, 2025 | 8.20 Mn |
| Dec 31, 2024 | 3.90 Mn |
| Sep 30, 2024 | 3.70 Mn |
| Jun 30, 2024 | 3.20 Mn |
| Mar 31, 2024 | 2.80 Mn |
| Dec 31, 2023 | 2.50 Mn |
| Sep 30, 2023 | 2.10 Mn |
| Jun 30, 2023 | 1.80 Mn |
| Mar 31, 2023 | 1.40 Mn |
| Dec 31, 2022 | 1.20 Mn |
| Sep 30, 2022 | 1.10 Mn |
| Jun 30, 2022 | 1.00 Mn |
| Mar 31, 2022 | 900,000.00 |
| Dec 31, 2021 | 700,000.00 |
| Sep 30, 2021 | 800,000.00 |
Evolv Technologies Holdings Depreciation and Depletion 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=depreciation-and-depletion&ticker=EVLV&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "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=depreciation-and-depletion&ticker=EVLV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();