SAB Biotherapeutics (SABS) Selling, General & Administrative (2021 - 2026)
SAB Biotherapeutics' Selling, General & Administrative came in at $7.21 million for Q2 2026, up 163.4% from $2.74 million a year earlier and up 9.2% from the prior quarter.
SAB Biotherapeutics (SABS) Selling, General & Administrative (2021 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, SAB Biotherapeutics reported Selling, General & Administrative of $22.56 million, up 91.1% year-over-year; for FY2025, it came in at $14.6 million, up 4.4% from FY2024.
- Selling, General & Administrative carries a five-year compound annual growth rate of 16.6% (FY2020 to FY2025).
- Going back by year, Selling, General & Administrative was $13.98 million in FY2024 (-41.3%), $23.8 million in FY2023 (+45.3%), $16.38 million in FY2022 (-4.1%) and $17.09 million in FY2021 (+152.3%).
- The Q2 2026 figure represents the highest quarterly Selling, General & Administrative since Q4 2023.
- Year-over-year, Selling, General & Administrative has increased for four consecutive quarters, with growth averaging 35.9% over the last eight quarters.
- The fastest year-over-year change in Selling, General & Administrative over five years came in Q4 2023 (growth of 416.2%), and the weakest in Q4 2024 (a decline of 83.4%).
- Business Quant data shows SABS's Selling, General & Administrative at $6.6 million (Q1 2026), $5.04 million (Q4 2025) and $3.71 million (Q3 2025) in the three quarters before Q2 2026.
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 | SAB Biotherapeutics | 255.49 Mn | 255.49 Mn | - | 7.21 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 7.21 Mn |
| Mar 31, 2026 | 6.60 Mn |
| Dec 31, 2025 | 5.04 Mn |
| Sep 30, 2025 | 3.71 Mn |
| Jun 30, 2025 | 2.74 Mn |
| Mar 31, 2025 | 3.11 Mn |
| Dec 31, 2024 | 2.47 Mn |
| Sep 30, 2024 | 3.48 Mn |
| Jun 30, 2024 | 3.64 Mn |
| Mar 31, 2024 | 4.19 Mn |
| Dec 31, 2023 | 14.88 Mn |
| Sep 30, 2023 | 2.57 Mn |
| Jun 30, 2023 | 2.90 Mn |
| Mar 31, 2023 | 3.45 Mn |
| Dec 31, 2022 | 2.88 Mn |
| Sep 30, 2022 | 4.04 Mn |
| Jun 30, 2022 | 4.31 Mn |
| Mar 31, 2022 | 5.19 Mn |
| Dec 31, 2021 | 7.75 Mn |
| Sep 30, 2021 | 3.60 Mn |
SAB Biotherapeutics 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=SABS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "ticker": "SABS", "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=SABS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();