NewAmsterdam Pharma (NAMS) Depreciation & Amortization (CF) (2023 - 2026)
NewAmsterdam Pharma's Depreciation & Amortization (CF) was $59,000 in Q2 2026, up 31.1% from $45,000 a year earlier but down 4.8% from the prior quarter.
NewAmsterdam Pharma (NAMS) Depreciation & Amortization (CF) (2023 - 2026) Analysis & Trends
On a trailing twelve-month basis, NewAmsterdam Pharma's Depreciation & Amortization (CF) was $244,000 through Jun 30, 2026, up 38.6% year-over-year; for FY2025, it came in at $220,000, up 94.7% from FY2024.
- Depreciation & Amortization (CF) has now increased for five consecutive years, with a five-year compound annual growth rate of 186.4% (FY2020 to FY2025).
- In earlier years, Depreciation & Amortization (CF) was $113,000 in FY2024 (+130.6%), $49,000 in FY2023 (+444.4%), $9,000 in FY2022 (+80.0%) and $5,000 in FY2021 (+337.9%).
- Quarterly Depreciation & Amortization (CF) has moved between $9,000 (Q1 2023) and $64,000 (Q3 2025) over five years.
- Compared with a year earlier, Depreciation & Amortization (CF) has increased for ten straight quarters, with growth averaging 121.3% over the last eight quarters.
- Over the past five years, the year-over-year growth in Depreciation & Amortization (CF) ranged from 15.7% (Q4 2025) to 292.3% (Q4 2024).
- Per Business Quant data, NAMS's Depreciation & Amortization (CF) in the three quarters before Q2 2026 was $62,000 (Q1 2026), $59,000 (Q4 2025) and $64,000 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Amort. (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | 545.00 Mn |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | 2.12 Bn |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | 192.00 Mn |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | 726.00 Mn |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | 1.61 Bn |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | 1.12 Bn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | 132.00 Mn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | 1.58 Bn |
| 10 | NewAmsterdam Pharma | 2.30 Bn | -236.30 Mn | - | 67,000.00 |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 67,000.00 |
| Jun 30, 2026 | 59,000.00 |
| Mar 31, 2026 | 62,000.00 |
| Dec 31, 2025 | 59,000.00 |
| Sep 30, 2025 | 64,000.00 |
| Jun 30, 2025 | 45,000.00 |
| Mar 31, 2025 | 52,000.00 |
| Dec 31, 2024 | 51,000.00 |
| Sep 30, 2024 | 28,000.00 |
| Jun 30, 2024 | 19,000.00 |
| Mar 31, 2024 | 15,000.00 |
| Dec 31, 2023 | 13,000.00 |
| Sep 30, 2023 | 14,000.00 |
| Jun 30, 2023 | 13,000.00 |
| Mar 31, 2023 | 9,000.00 |
NewAmsterdam Pharma 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=NAMS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-amortization-cf", "ticker": "NAMS", "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=NAMS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();