Macrogenics (MGNX) Accumulated Expenses (2012 - 2026)
Macrogenics' Accumulated Expenses came in at $29.9 million for Q2 2026, up 40.1% from $21.35 million a year earlier and up 62.1% from the prior quarter.
Powered by 
Analysis
Macrogenics (MGNX) Accumulated Expenses (2012 - 2026) Analysis & Trends
At the end of FY2025, Macrogenics' Accumulated Expenses was $22.06 million, down 24.8% from FY2024.
- Accumulated Expenses carries a five-year compound annual growth rate of -8.4% (FY2020 to FY2025).
- Going back by year, Accumulated Expenses was $29.33 million in FY2024 (+21.0%), $24.24 million in FY2023 (-16.4%), $29 million in FY2022 (-14.1%) and $33.76 million in FY2021 (-1.3%).
- The Q2 2026 figure represents the highest quarterly Accumulated Expenses since Q3 2022.
- Year-over-year, Accumulated Expenses increased in three of the last eight quarters, with growth averaging 4.2%.
- The fastest year-over-year change in Accumulated Expenses over five years came in Q1 2025 (growth of 53.4%), and the weakest in Q1 2024 (a decline of 35.6%).
- Business Quant data shows MGNX's Accumulated Expenses at $18.45 million (Q1 2026), $22.06 million (Q4 2025) and $23.09 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn |
| 10 | Macrogenics | 245.67 Mn | -72.10 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 29.90 Mn |
| Mar 31, 2026 | 18.45 Mn |
| Dec 31, 2025 | 22.06 Mn |
| Sep 30, 2025 | 23.09 Mn |
| Jun 30, 2025 | 21.35 Mn |
| Mar 31, 2025 | 27.84 Mn |
| Dec 31, 2024 | 29.33 Mn |
| Sep 30, 2024 | 24.64 Mn |
| Jun 30, 2024 | 24.45 Mn |
| Mar 31, 2024 | 18.15 Mn |
| Dec 31, 2023 | 24.24 Mn |
| Sep 30, 2023 | 25.48 Mn |
| Jun 30, 2023 | 27.53 Mn |
| Mar 31, 2023 | 28.19 Mn |
| Dec 31, 2022 | 29.00 Mn |
| Sep 30, 2022 | 33.32 Mn |
| Jun 30, 2022 | 31.76 Mn |
| Mar 31, 2022 | 32.97 Mn |
| Dec 31, 2021 | 33.76 Mn |
| Sep 30, 2021 | 41.86 Mn |
API Access
Macrogenics Accumulated Expenses 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=accumulated-expenses&ticker=MGNX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=MGNX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();