Macrogenics (MGNX) Depreciation & Amortization (CF) (2012 - 2026)
Macrogenics' Depreciation & Amortization (CF) was $708,000 in Q2 2026, down 62.9% from $1.91 million a year earlier and down 58.0% from the prior quarter.
Macrogenics (MGNX) Depreciation & Amortization (CF) (2012 - 2026) Analysis & Trends
On a trailing twelve-month basis, Macrogenics' Depreciation & Amortization (CF) was $5.89 million through Jun 30, 2026, down 22.2% year-over-year; for FY2025, it was $7.17 million, down 4.9% from FY2024.
- Depreciation & Amortization (CF) has now declined for three consecutive years, with a five-year compound annual growth rate of -9.7% (FY2020 to FY2025).
- In earlier years, Depreciation & Amortization (CF) was $7.54 million in FY2024 (-21.8%), $9.65 million in FY2023 (-18.7%), $11.87 million in FY2022 (+5.4%) and $11.26 million in FY2021 (-5.8%).
- The Q2 2026 figure marks the lowest quarterly Depreciation & Amortization (CF) since Q3 2015.
- Compared with a year earlier, Depreciation & Amortization (CF) has declined for four straight quarters, with an average decline of 10.4% over the last eight quarters.
- The best year-over-year quarter for Depreciation & Amortization (CF) over five years was Q4 2022 (growth of 9.5%); the worst was Q2 2026 (a decline of 62.9%).
- Per Business Quant data, MGNX's Depreciation & Amortization (CF) in the three quarters before Q2 2026 was $1.69 million (Q1 2026), $1.71 million (Q4 2025) and $1.79 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Amort. (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 1.96 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | 194.00 Mn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | 599.00 Mn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | - |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | 1.93 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 1.11 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | 98.00 Mn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | 1.62 Bn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | 56.50 Mn |
| 10 | Macrogenics | 245.67 Mn | -72.10 Mn | - | 708,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 708,000.00 |
| Mar 31, 2026 | 1.69 Mn |
| Dec 31, 2025 | 1.71 Mn |
| Sep 30, 2025 | 1.79 Mn |
| Jun 30, 2025 | 1.91 Mn |
| Mar 31, 2025 | 1.77 Mn |
| Dec 31, 2024 | 2.05 Mn |
| Sep 30, 2024 | 1.84 Mn |
| Jun 30, 2024 | 1.81 Mn |
| Mar 31, 2024 | 1.84 Mn |
| Dec 31, 2023 | 1.90 Mn |
| Sep 30, 2023 | 1.95 Mn |
| Jun 30, 2023 | 2.81 Mn |
| Mar 31, 2023 | 2.98 Mn |
| Dec 31, 2022 | 3.23 Mn |
| Sep 30, 2022 | 2.84 Mn |
| Jun 30, 2022 | 2.88 Mn |
| Mar 31, 2022 | 2.91 Mn |
| Dec 31, 2021 | 2.95 Mn |
| Sep 30, 2021 | 2.80 Mn |
Macrogenics 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=MGNX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-amortization-cf", "ticker": "MGNX", "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=MGNX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();