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 | Eli Lilly | 1,261.99 Bn | 1,235.61 Bn | 20.46 Bn | 545.00 Mn |
| 2 | Johnson & Johnson | 678.93 Bn | 598.79 Bn | 17.30 Bn | 2.12 Bn |
| 3 | AbbVie | 518.29 Bn | 486.30 Bn | 13.12 Bn | 192.00 Mn |
| 4 | Merck | 365.98 Bn | 328.92 Bn | 13.19 Bn | 726.00 Mn |
| 5 | Novartis Ag | 316.85 Bn | 290.09 Bn | - | - |
| 6 | Astrazeneca | 293.40 Bn | 267.29 Bn | 13.26 Bn | 1.61 Bn |
| 7 | Amgen | 251.78 Bn | 203.43 Bn | 7.58 Bn | 1.12 Bn |
| 8 | Gilead Sciences | 210.61 Bn | 185.71 Bn | 6.73 Bn | 132.00 Mn |
| 9 | Pfizer | 166.87 Bn | 114.23 Bn | 12.56 Bn | 1.58 Bn |
| 10 | Macrogenics | 150.40 Mn | -167.37 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();