Aprea Therapeutics (APRE) Depreciation & Amortization (CF) (2018 - 2026)
Aprea Therapeutics (APRE) reported Depreciation & Amortization (CF) of $5,746 for Q2 2026, up 5.9% from $5,428 a year earlier and up 5.9% from the prior quarter.
Aprea Therapeutics (APRE) Depreciation & Amortization (CF) (2018 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Aprea Therapeutics' Depreciation & Amortization (CF) came in at $22,032, up 1.5% year-over-year; for FY2025, it came in at $21,715, down 2.7% from FY2024.
- Depreciation & Amortization (CF) has a five-year compound annual growth rate of -5.5% (FY2020 to FY2025).
- By year, Depreciation & Amortization (CF) came in at $22,318 in FY2024 (+216.5%), $7,052 in FY2023 (+60.2%), $4,403 in FY2022 (-65.7%) and $12,829 in FY2021 (-55.5%).
- The Q2 2026 figure ranks as the highest quarterly Depreciation & Amortization (CF) since Q1 2024.
- Year over year, Depreciation & Amortization (CF) gained in four of the last eight quarters, with growth averaging 35.5%.
- The high point for year-over-year Depreciation & Amortization (CF) in five years was Q3 2024 (growth of 279.1%); the low point was Q3 2022 (a decline of 96.1%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $5,428 (Q1 2026), $5,429 (Q4 2025) and $5,429 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Amort. (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,082.65 Bn | 1,051.23 Bn | 19.71 Bn | 534.00 Mn |
| 2 | Johnson & Johnson | 623.68 Bn | 542.21 Bn | 17.26 Bn | 1.96 Bn |
| 3 | AbbVie | 459.43 Bn | 432.59 Bn | 12.70 Bn | 194.00 Mn |
| 4 | Merck | 354.80 Bn | 309.23 Bn | 12.21 Bn | 599.00 Mn |
| 5 | Novartis Ag | 269.16 Bn | 225.03 Bn | 11.24 Bn | - |
| 6 | Astrazeneca | 244.40 Bn | 217.97 Bn | 12.86 Bn | 1.93 Bn |
| 7 | Amgen | 220.17 Bn | 175.57 Bn | 7.24 Bn | 1.11 Bn |
| 8 | Gilead Sciences | 183.05 Bn | 157.16 Bn | 6.22 Bn | 98.00 Mn |
| 9 | Pfizer | 160.27 Bn | 107.22 Bn | 10.94 Bn | 1.62 Bn |
| 10 | Aprea Therapeutics | 38.51 Mn | 38.51 Mn | - | 5,746.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5,746.00 |
| Mar 31, 2026 | 5,428.00 |
| Dec 31, 2025 | 5,429.00 |
| Sep 30, 2025 | 5,429.00 |
| Jun 30, 2025 | 5,428.00 |
| Mar 31, 2025 | 5,429.00 |
| Dec 31, 2024 | 5,428.00 |
| Sep 30, 2024 | 5,429.00 |
| Jun 30, 2024 | 5,304.00 |
| Mar 31, 2024 | 6,157.00 |
| Dec 31, 2023 | 4,986.00 |
| Sep 30, 2023 | 1,432.00 |
| Jun 30, 2023 | 224.00 |
| Mar 31, 2023 | 410.00 |
| Dec 31, 2022 | -2,385.00 |
| Sep 30, 2022 | 122.00 |
| Jun 30, 2022 | 3,724.00 |
| Mar 31, 2022 | 2,942.00 |
| Dec 31, 2021 | 2,969.00 |
| Sep 30, 2021 | 3,136.00 |
Aprea Therapeutics 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=APRE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-amortization-cf", "ticker": "APRE", "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=APRE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();