Macrogenics (MGNX) Total Non-Current Liabilities (2012 - 2026)
Macrogenics (MGNX) recorded Total Non-Current Liabilities of $302.09 million in Q2 2026, up 53.2% from $197.13 million a year earlier and up 54.2% from the prior quarter.
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Analysis
Macrogenics (MGNX) Total Non-Current Liabilities (2012 - 2026) Analysis & Trends
At the end of FY2025, Macrogenics reported Total Non-Current Liabilities of $200.2 million, up 39.4% from FY2024.
- Annual Total Non-Current Liabilities has a five-year compound annual growth rate of 19.3% (FY2020 to FY2025).
- Across earlier years, Total Non-Current Liabilities came in at $143.63 million in FY2024 (-1.3%), $145.55 million in FY2023 (+5.3%), $138.2 million in FY2022 (+44.9%) and $95.37 million in FY2021 (+15.1%).
- The Q2 2026 figure is the highest quarterly Total Non-Current Liabilities in data going back to Q4 2012.
- On a year-over-year basis, Total Non-Current Liabilities has increased for six consecutive quarters, with growth averaging 25.8% over the last eight quarters.
- Peak year-over-year performance for Total Non-Current Liabilities in the last five years was growth of 151.7% in Q1 2023, against a decline of 39.4% in Q1 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $195.95 million (Q1 2026), $200.2 million (Q4 2025) and $202.43 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 645.01 Bn | 563.54 Bn | 17.26 Bn | 105.99 Bn |
| 2 | AbbVie | 465.23 Bn | 438.39 Bn | 12.70 Bn | 106.45 Bn |
| 3 | Merck | 368.40 Bn | 322.83 Bn | 12.21 Bn | 80.25 Bn |
| 4 | Novartis Ag | 278.02 Bn | 233.89 Bn | 11.24 Bn | 48.34 Bn |
| 5 | Astrazeneca | 254.57 Bn | 228.13 Bn | 12.86 Bn | -967.00 Mn |
| 6 | Amgen | 229.02 Bn | 184.42 Bn | 7.24 Bn | 81.11 Bn |
| 7 | Gilead Sciences | 187.74 Bn | 161.85 Bn | 6.22 Bn | 36.04 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 100.86 Bn |
| 9 | Vertex Pharmaceuticals | 133.45 Bn | 105.45 Bn | 2.84 Bn | 5.92 Bn |
| 10 | Macrogenics | 239.94 Mn | -77.83 Mn | - | 302.09 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 302.09 Mn |
| Mar 31, 2026 | 195.95 Mn |
| Dec 31, 2025 | 200.20 Mn |
| Sep 30, 2025 | 202.43 Mn |
| Jun 30, 2025 | 197.13 Mn |
| Mar 31, 2025 | 143.48 Mn |
| Dec 31, 2024 | 143.63 Mn |
| Sep 30, 2024 | 144.17 Mn |
| Jun 30, 2024 | 143.06 Mn |
| Mar 31, 2024 | 141.87 Mn |
| Dec 31, 2023 | 145.55 Mn |
| Sep 30, 2023 | 145.73 Mn |
| Jun 30, 2023 | 133.85 Mn |
| Mar 31, 2023 | 233.97 Mn |
| Dec 31, 2022 | 138.20 Mn |
| Sep 30, 2022 | 72.13 Mn |
| Jun 30, 2022 | 75.30 Mn |
| Mar 31, 2022 | 92.97 Mn |
| Dec 31, 2021 | 95.37 Mn |
| Sep 30, 2021 | 100.46 Mn |
API Access
Macrogenics Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=MGNX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=MGNX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();