Cellectar Biosciences (CLRB) Selling, General & Administrative (2010 - 2026)
Cellectar Biosciences (CLRB) recorded Selling, General & Administrative of $2.64 million in Q2 2026, down 27.7% from $3.65 million a year earlier.
Cellectar Biosciences (CLRB) Selling, General & Administrative (2010 - 2026) Analysis & Trends
On a TTM basis, Cellectar Biosciences' Selling, General & Administrative came in at $11.15 million as of Jun 30, 2026, down 46.9% year-over-year; for FY2025, it came in at $11.48 million, down 55.2% from FY2024.
- Annual Selling, General & Administrative has a five-year compound annual growth rate of 17.4% (FY2020 to FY2025).
- Across earlier years, Selling, General & Administrative came in at $25.64 million in FY2024 (+119.3%), $11.69 million in FY2023 (+10.9%), $10.55 million in FY2022 (+61.2%) and $6.54 million in FY2021 (+27.1%).
- Quarterly Selling, General & Administrative has ranged from $1.54 million in Q4 2021 to $7.83 million in Q3 2024 over the past five years.
- On a year-over-year basis, Selling, General & Administrative rose in two of the last seven quarters, with growth averaging 3.4%.
- Peak year-over-year performance for Selling, General & Administrative in the last five years was growth of 229.3% in Q3 2024, against a decline of 70.3% in Q3 2025 at the low end.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,082.65 Bn | 1,051.23 Bn | 19.71 Bn | 3.43 Bn |
| 2 | Johnson & Johnson | 623.68 Bn | 542.21 Bn | 17.26 Bn | 6.43 Bn |
| 3 | AbbVie | 459.43 Bn | 432.59 Bn | 12.70 Bn | 3.63 Bn |
| 4 | Merck | 354.80 Bn | 309.23 Bn | 12.21 Bn | 2.90 Bn |
| 5 | Novartis Ag | 269.16 Bn | 225.03 Bn | 11.24 Bn | -3.24 Bn |
| 6 | Astrazeneca | 244.40 Bn | 217.97 Bn | 12.86 Bn | -5.65 Bn |
| 7 | Amgen | 220.17 Bn | 175.57 Bn | 7.24 Bn | 1.75 Bn |
| 8 | Gilead Sciences | 183.05 Bn | 157.16 Bn | 6.22 Bn | 1.92 Bn |
| 9 | Pfizer | 160.27 Bn | 107.22 Bn | 10.94 Bn | 3.41 Bn |
| 10 | Cellectar Biosciences | 22.87 Mn | 22.87 Mn | - | 2.64 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.64 Mn |
| Dec 31, 2025 | 2.53 Mn |
| Sep 30, 2025 | 2.33 Mn |
| Jun 30, 2025 | 3.65 Mn |
| Mar 31, 2025 | 2.97 Mn |
| Dec 31, 2024 | 6.54 Mn |
| Sep 30, 2024 | 7.83 Mn |
| Jun 30, 2024 | 6.36 Mn |
| Mar 31, 2024 | 4.91 Mn |
| Dec 31, 2023 | 4.81 Mn |
| Sep 30, 2023 | 2.38 Mn |
| Jun 30, 2023 | 2.16 Mn |
| Mar 31, 2023 | 2.35 Mn |
| Dec 31, 2022 | 2.92 Mn |
| Sep 30, 2022 | 2.60 Mn |
| Jun 30, 2022 | 3.29 Mn |
| Mar 31, 2022 | 2.44 Mn |
| Dec 31, 2021 | 1.54 Mn |
| Sep 30, 2021 | 1.88 Mn |
| Jun 30, 2021 | 1.40 Mn |
Cellectar Biosciences Selling, General & Administrative 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=selling-general-and-administrative&ticker=CLRB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "ticker": "CLRB", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=selling-general-and-administrative&ticker=CLRB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();