Regeneron Pharmaceuticals (REGN) Total Non-Current Liabilities (2009 - 2026)
Regeneron Pharmaceuticals' Total Non-Current Liabilities was $7.74 billion in Q2 2026, up 17.6% from $6.58 billion a year earlier and up 5.7% from the prior quarter.
Regeneron Pharmaceuticals (REGN) Total Non-Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Total Non-Current Liabilities at Regeneron Pharmaceuticals came in at $7.28 billion, up 6.6% from FY2024.
- Total Non-Current Liabilities has now increased for three consecutive years, with a five-year compound annual growth rate of 6.0% (FY2020 to FY2025).
- In earlier years, Total Non-Current Liabilities was $6.83 billion in FY2024 (+9.3%), $6.25 billion in FY2023 (+5.8%), $5.91 billion in FY2022 (-1.2%) and $5.99 billion in FY2021 (+9.8%).
- The Q2 2026 figure marks the highest quarterly Total Non-Current Liabilities in data going back to Q4 2009.
- Compared with a year earlier, Total Non-Current Liabilities has increased for 14 straight quarters, with growth averaging 7.9% over the last eight quarters.
- The best year-over-year quarter for Total Non-Current Liabilities over five years was Q2 2026 (growth of 17.6%); the worst was Q3 2022 (a decline of 1.9%).
- Per Business Quant data, REGN's Total Non-Current Liabilities in the three quarters before Q2 2026 was $7.32 billion (Q1 2026), $7.28 billion (Q4 2025) and $7.35 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,122.91 Bn | 1,091.50 Bn | 19.71 Bn | 60.66 Bn |
| 2 | Johnson & Johnson | 615.09 Bn | 533.62 Bn | 17.26 Bn | 105.50 Bn |
| 3 | AbbVie | 504.75 Bn | 477.86 Bn | 12.70 Bn | 106.45 Bn |
| 4 | Merck | 360.18 Bn | 314.55 Bn | 12.21 Bn | 80.25 Bn |
| 5 | Novartis Ag | 292.05 Bn | 256.04 Bn | 11.24 Bn | 48.34 Bn |
| 6 | Astrazeneca | 256.09 Bn | 229.78 Bn | 12.86 Bn | 33.91 Bn |
| 7 | Amgen | 233.63 Bn | 189.02 Bn | 7.24 Bn | 78.66 Bn |
| 8 | Gilead Sciences | 194.49 Bn | 168.69 Bn | 6.22 Bn | 35.10 Bn |
| 9 | Pfizer | 168.35 Bn | 114.99 Bn | 10.94 Bn | 97.04 Bn |
| 10 | Regeneron Pharmaceuticals | 81.27 Bn | 47.47 Bn | 3.71 Bn | 7.74 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 7.74 Bn |
| Mar 31, 2026 | 7.32 Bn |
| Dec 31, 2025 | 7.28 Bn |
| Sep 30, 2025 | 7.35 Bn |
| Jun 30, 2025 | 6.58 Bn |
| Mar 31, 2025 | 6.48 Bn |
| Dec 31, 2024 | 6.83 Bn |
| Sep 30, 2024 | 6.57 Bn |
| Jun 30, 2024 | 6.42 Bn |
| Mar 31, 2024 | 6.47 Bn |
| Dec 31, 2023 | 6.25 Bn |
| Sep 30, 2023 | 6.43 Bn |
| Jun 30, 2023 | 5.92 Bn |
| Mar 31, 2023 | 5.89 Bn |
| Dec 31, 2022 | 5.91 Bn |
| Sep 30, 2022 | 5.64 Bn |
| Jun 30, 2022 | 5.79 Bn |
| Mar 31, 2022 | 5.74 Bn |
| Dec 31, 2021 | 5.99 Bn |
| Sep 30, 2021 | 5.75 Bn |
Regeneron Pharmaceuticals 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=REGN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "REGN", "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=REGN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();