Advent Technologies Holdings, Inc. (ADNH) Depreciation & Amortization (CF) (2023 - 2025)
Advent Technologies Holdings (ADNH) reported Depreciation & Amortization (CF) of $172,000 for Q3 2025, up 65.4% from $104,000 a year earlier but down 14.0% from the prior quarter.
Advent Technologies Holdings, Inc. (ADNH) Depreciation & Amortization (CF) (2023 - 2025) Analysis & Trends
Over the twelve months ended Sep 30, 2025, Advent Technologies Holdings' Depreciation & Amortization (CF) came in at $1.12 million, down 34.5% year-over-year; for FY2024, it came in at $1.56 million, down 32.7% from FY2023.
- Depreciation & Amortization (CF) has a four-year compound annual growth rate of 188.7% (FY2020 to FY2024).
- By year, Depreciation & Amortization (CF) came in at $2.33 million in FY2023 (+55.7%), $1.49 million in FY2022 (+167.1%), $559,000 in FY2021 and $22,508 in FY2020.
- Five-year quarterly Depreciation & Amortization (CF) spans a low of $104,000 in Q3 2024 and a high of $900,000 in Q3 2023.
- Year over year, Depreciation & Amortization (CF) gained in two of the last seven quarters, with an average decline of 17.5%.
- Per Business Quant data, the three quarters before Q3 2025 came in at $200,000 (Q2 2025), $188,000 (Q1 2025) and $564,000 (Q4 2024).
Peer Comparison
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2025 | 172,000.00 |
| Jun 30, 2025 | 200,000.00 |
| Mar 31, 2025 | 188,000.00 |
| Dec 31, 2024 | 564,000.00 |
| Sep 30, 2024 | 104,000.00 |
| Jun 30, 2024 | 200,000.00 |
| Mar 31, 2024 | 684,000.00 |
| Dec 31, 2023 | 729,000.00 |
| Sep 30, 2023 | 900,000.00 |
| Jun 30, 2023 | 800,000.00 |
| Mar 31, 2023 | 401,000.00 |
Advent Technologies Holdings, Inc. Depreciation & Amortization (CF) 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-amortization-cf&ticker=ADNH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-amortization-cf", "ticker": "ADNH", "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-amortization-cf&ticker=ADNH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();