PDS Biotechnology (PDSB) Selling, General & Administrative (2014 - 2026)
PDS Biotechnology (PDSB) posted Selling, General & Administrative of $3.23 million for Q2 2026, down 5.3% from $3.41 million a year earlier.
PDS Biotechnology (PDSB) Selling, General & Administrative (2014 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Selling, General & Administrative at PDS Biotechnology was $12.47 million, down 3.2% year-over-year; for FY2025, it was $12.52 million, down 9.0% from FY2024.
- Annual Selling, General & Administrative shows a five-year compound annual growth rate of 12.4% (FY2020 to FY2025).
- In prior years, PDS Biotechnology's Selling, General & Administrative was $13.76 million in FY2024 (-10.0%), $15.28 million in FY2023 (+24.8%), $12.24 million in FY2022 (+20.2%) and $10.18 million in FY2021 (+46.0%).
- Quarterly Selling, General & Administrative has run from a low of $2.27 million in Q4 2025 to a high of $4.69 million in Q2 2023 over five years.
- On a year-over-year basis, Selling, General & Administrative increased in 1 of the last seven quarters, with an average decline of 8.8%.
- The strongest year-over-year quarter for Selling, General & Administrative in the past five years was Q1 2022, with growth of 102.8%; the weakest was Q4 2025, with a decline of 19.8%.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn | 3.43 Bn |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn | 6.43 Bn |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn | 3.63 Bn |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn | 2.90 Bn |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn | -3.24 Bn |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn | -5.65 Bn |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn | 1.75 Bn |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn | 1.92 Bn |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn | 3.41 Bn |
| 10 | PDS Biotechnology | 41.94 Mn | 41.94 Mn | - | 3.23 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.23 Mn |
| Dec 31, 2025 | 2.27 Mn |
| Sep 30, 2025 | 3.56 Mn |
| Jun 30, 2025 | 3.41 Mn |
| Mar 31, 2025 | 3.27 Mn |
| Dec 31, 2024 | 2.83 Mn |
| Sep 30, 2024 | 3.37 Mn |
| Jun 30, 2024 | 4.16 Mn |
| Mar 31, 2024 | 3.39 Mn |
| Dec 31, 2023 | 2.94 Mn |
| Sep 30, 2023 | 4.07 Mn |
| Jun 30, 2023 | 4.69 Mn |
| Mar 31, 2023 | 3.58 Mn |
| Dec 31, 2022 | 2.67 Mn |
| Sep 30, 2022 | 2.93 Mn |
| Jun 30, 2022 | 3.33 Mn |
| Mar 31, 2022 | 3.32 Mn |
| Dec 31, 2021 | 2.93 Mn |
| Sep 30, 2021 | 3.27 Mn |
| Jun 30, 2021 | 2.34 Mn |
PDS Biotechnology 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=PDSB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "ticker": "PDSB", "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=PDSB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();