Supernus Pharmaceuticals (SUPN) Retained Earnings (2011 - 2026)
Supernus Pharmaceuticals' Retained Earnings came in at $457.21 million for Q2 2026, down 19.4% from $567.1 million a year earlier and down 11.3% from the prior quarter.
Supernus Pharmaceuticals (SUPN) Retained Earnings (2011 - 2026) Analysis & Trends
At the end of FY2025, Supernus Pharmaceuticals' Retained Earnings was $517.88 million, down 6.9% from FY2024.
- Retained Earnings carries a five-year compound annual growth rate of 9.7% (FY2020 to FY2025).
- Going back by year, Retained Earnings was $556.43 million in FY2024 (+15.3%), $482.56 million in FY2023 (+0.3%), $481.25 million in FY2022 (+26.7%) and $379.92 million in FY2021 (+16.4%).
- The Q2 2026 figure represents the lowest quarterly Retained Earnings since Q3 2022.
- Year-over-year, Retained Earnings has declined for four consecutive quarters, with growth averaging 2.3% over the last eight quarters.
- The fastest year-over-year change in Retained Earnings over five years came in Q1 2022 (growth of 34.3%), and the weakest in Q2 2026 (a decline of 19.4%).
- Business Quant data shows SUPN's Retained Earnings at $515.58 million (Q1 2026), $517.88 million (Q4 2025) and $521.98 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Retained Earnings (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,130.22 Bn | 1,098.80 Bn | 19.71 Bn | 31.89 Bn |
| 2 | Johnson & Johnson | 614.95 Bn | 533.47 Bn | 17.26 Bn | 171.67 Bn |
| 3 | AbbVie | 505.05 Bn | 478.16 Bn | 12.70 Bn | -17.33 Bn |
| 4 | Merck | 368.08 Bn | 322.46 Bn | 12.21 Bn | 63.27 Bn |
| 5 | Novartis Ag | 298.32 Bn | 262.31 Bn | 11.24 Bn | - |
| 6 | Astrazeneca | 261.58 Bn | 235.26 Bn | 12.86 Bn | 12.59 Bn |
| 7 | Amgen | 236.05 Bn | 191.45 Bn | 7.24 Bn | -22.28 Bn |
| 8 | Gilead Sciences | 190.61 Bn | 164.80 Bn | 6.22 Bn | 2.20 Bn |
| 9 | Pfizer | 169.86 Bn | 116.50 Bn | 10.94 Bn | 112.09 Bn |
| 10 | Supernus Pharmaceuticals | 2.40 Bn | 1.05 Bn | 185.39 Mn | 457.21 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 457.21 Mn |
| Mar 31, 2026 | 515.58 Mn |
| Dec 31, 2025 | 517.88 Mn |
| Sep 30, 2025 | 521.98 Mn |
| Jun 30, 2025 | 567.10 Mn |
| Mar 31, 2025 | 544.60 Mn |
| Dec 31, 2024 | 556.43 Mn |
| Sep 30, 2024 | 541.10 Mn |
| Jun 30, 2024 | 502.60 Mn |
| Mar 31, 2024 | 482.69 Mn |
| Dec 31, 2023 | 482.56 Mn |
| Sep 30, 2023 | 481.39 Mn |
| Jun 30, 2023 | 497.36 Mn |
| Mar 31, 2023 | 498.19 Mn |
| Dec 31, 2022 | 481.25 Mn |
| Sep 30, 2022 | 455.76 Mn |
| Jun 30, 2022 | 454.02 Mn |
| Mar 31, 2022 | 446.15 Mn |
| Dec 31, 2021 | 379.92 Mn |
| Sep 30, 2021 | 377.48 Mn |
Supernus Pharmaceuticals Retained Earnings 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=retained-earnings&ticker=SUPN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "retained-earnings", "ticker": "SUPN", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=retained-earnings&ticker=SUPN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();