Macrogenics (MGNX) Capital Expenditures (2012 - 2026)
Macrogenics (MGNX) posted Capital Expenditures of $806,000 for Q2 2026, up 12.7% from $715,000 a year earlier and up 134.3% from the prior quarter.
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Analysis
Macrogenics (MGNX) Capital Expenditures (2012 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Capital Expenditures at Macrogenics was $1.82 million, down 25.9% year-over-year; for FY2025, it was $1.91 million, down 48.4% from FY2024.
- Annual Capital Expenditures shows a five-year compound annual growth rate of -20.2% (FY2020 to FY2025).
- In prior years, Macrogenics' Capital Expenditures was $3.71 million in FY2024 (+110.1%), $1.76 million in FY2023 (-51.3%), $3.62 million in FY2022 (-41.6%) and $6.2 million in FY2021 (+5.0%).
- The Q2 2026 figure stands as the highest quarterly Capital Expenditures since Q2 2024.
- On a year-over-year basis, Capital Expenditures increased in two of the last eight quarters, with an average decline of 23.4%.
- The strongest year-over-year quarter for Capital Expenditures in the past five years was Q3 2021, with growth of 327.5%; the weakest was Q1 2023, with a decline of 74.6%.
- According to Business Quant data, Capital Expenditures for the three prior quarters was $344,000 (Q1 2026), $244,000 (Q4 2025) and $426,000 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 645.01 Bn | 563.54 Bn | 17.26 Bn | 1.32 Bn |
| 2 | AbbVie | 465.23 Bn | 438.39 Bn | 12.70 Bn | 322.00 Mn |
| 3 | Merck | 368.40 Bn | 322.83 Bn | 12.21 Bn | 893.00 Mn |
| 4 | Novartis Ag | 278.02 Bn | 233.89 Bn | 11.24 Bn | -321.00 Mn |
| 5 | Astrazeneca | 254.57 Bn | 228.13 Bn | 12.86 Bn | -763.00 Mn |
| 6 | Amgen | 229.02 Bn | 184.42 Bn | 7.24 Bn | 513.00 Mn |
| 7 | Gilead Sciences | 187.74 Bn | 161.85 Bn | 6.22 Bn | 140.00 Mn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 533.00 Mn |
| 9 | Vertex Pharmaceuticals | 133.45 Bn | 105.45 Bn | 2.84 Bn | 112.20 Mn |
| 10 | Macrogenics | 239.94 Mn | -77.83 Mn | - | 806,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 806,000.00 |
| Mar 31, 2026 | 344,000.00 |
| Dec 31, 2025 | 244,000.00 |
| Sep 30, 2025 | 426,000.00 |
| Jun 30, 2025 | 715,000.00 |
| Mar 31, 2025 | 529,000.00 |
| Dec 31, 2024 | 620,000.00 |
| Sep 30, 2024 | 592,000.00 |
| Jun 30, 2024 | 1.04 Mn |
| Mar 31, 2024 | 1.46 Mn |
| Dec 31, 2023 | 620,000.00 |
| Sep 30, 2023 | 499,000.00 |
| Jun 30, 2023 | 286,000.00 |
| Mar 31, 2023 | 359,000.00 |
| Dec 31, 2022 | 393,000.00 |
| Sep 30, 2022 | 804,000.00 |
| Jun 30, 2022 | 1.01 Mn |
| Mar 31, 2022 | 1.42 Mn |
| Dec 31, 2021 | 1.38 Mn |
| Sep 30, 2021 | 2.13 Mn |
API Access
Macrogenics Capital Expenditures 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=capital-expenditures&ticker=MGNX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=MGNX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();