Moderna (MRNA) Total Non-Current Liabilities (2017 - 2026)
Moderna's Total Non-Current Liabilities came in at $3.92 billion for Q2 2026, up 67.7% from $2.34 billion a year earlier and up 3.1% from the prior quarter.
Moderna (MRNA) Total Non-Current Liabilities (2017 - 2026) Analysis & Trends
At the end of FY2025, Moderna's Total Non-Current Liabilities was $3.4 billion, up 14.4% from FY2024.
- Total Non-Current Liabilities carries a five-year compound annual growth rate of -6.5% (FY2020 to FY2025).
- Going back by year, Total Non-Current Liabilities was $2.97 billion in FY2024 (-31.1%), $4.32 billion in FY2023 (-34.6%), $6.6 billion in FY2022 (-36.8%) and $10.45 billion in FY2021 (+118.9%).
- The Q2 2026 figure represents the highest quarterly Total Non-Current Liabilities since Q4 2023.
- Year-over-year, Total Non-Current Liabilities has increased for three consecutive quarters, with an average decline of 3.6% over the last eight quarters.
- The fastest year-over-year change in Total Non-Current Liabilities over five years came in Q3 2021 (growth of 471.7%), and the weakest in Q1 2023 (a decline of 51.2%).
- Business Quant data shows MRNA's Total Non-Current Liabilities at $3.8 billion (Q1 2026), $3.4 billion (Q4 2025) and $2.52 billion (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,224.11 Bn | 1,197.72 Bn | 20.46 Bn | 60.81 Bn |
| 2 | Johnson & Johnson | 665.34 Bn | 585.20 Bn | 17.30 Bn | 102.65 Bn |
| 3 | AbbVie | 515.72 Bn | 483.73 Bn | 13.12 Bn | 117.60 Bn |
| 4 | Merck | 362.64 Bn | 325.58 Bn | 13.19 Bn | 79.95 Bn |
| 5 | Novartis Ag | 315.51 Bn | 288.75 Bn | - | - |
| 6 | Astrazeneca | 289.26 Bn | 263.15 Bn | 13.26 Bn | -36.84 Bn |
| 7 | Amgen | 249.20 Bn | 200.85 Bn | 7.58 Bn | 76.12 Bn |
| 8 | Gilead Sciences | 207.48 Bn | 182.59 Bn | 6.73 Bn | 36.05 Bn |
| 9 | Pfizer | 167.49 Bn | 114.85 Bn | 12.56 Bn | 96.04 Bn |
| 10 | Moderna | 100.92 Bn | 80.27 Bn | 52.00 Mn | 3.92 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.92 Bn |
| Mar 31, 2026 | 3.80 Bn |
| Dec 31, 2025 | 3.40 Bn |
| Sep 30, 2025 | 2.52 Bn |
| Jun 30, 2025 | 2.34 Bn |
| Mar 31, 2025 | 2.36 Bn |
| Dec 31, 2024 | 2.97 Bn |
| Sep 30, 2024 | 3.60 Bn |
| Jun 30, 2024 | 3.70 Bn |
| Mar 31, 2024 | 3.65 Bn |
| Dec 31, 2023 | 4.32 Bn |
| Sep 30, 2023 | 5.82 Bn |
| Jun 30, 2023 | 4.76 Bn |
| Mar 31, 2023 | 5.10 Bn |
| Dec 31, 2022 | 6.60 Bn |
| Sep 30, 2022 | 7.98 Bn |
| Jun 30, 2022 | 7.95 Bn |
| Mar 31, 2022 | 10.44 Bn |
| Dec 31, 2021 | 10.45 Bn |
| Sep 30, 2021 | 10.80 Bn |
Moderna 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=MRNA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "MRNA", "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=MRNA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();