SAB Biotherapeutics (SABS) Total Liabilities (2020 - 2026)
SAB Biotherapeutics (SABS) reported Total Liabilities of $23.43 million for Q2 2026, up 29.3% from $18.11 million a year earlier and up 10.4% from the prior quarter.
SAB Biotherapeutics (SABS) Total Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025, SAB Biotherapeutics posted Total Liabilities of $21.32 million, up 17.0% from FY2024.
- Total Liabilities has a five-year compound annual growth rate of 4.0% (FY2020 to FY2025).
- By year, Total Liabilities came in at $18.23 million in FY2024 (-31.6%), $26.64 million in FY2023 (+34.2%), $19.85 million in FY2022 (-53.4%) and $42.59 million in FY2021 (+143.0%).
- The Q2 2026 figure ranks as the highest quarterly Total Liabilities since Q4 2023.
- Year over year, Total Liabilities has now increased in each of the last five quarters, with growth averaging 10.6% over the last eight quarters.
- The high point for year-over-year Total Liabilities in five years was Q4 2021 (growth of 143.0%); the low point was Q3 2022 (a decline of 73.3%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $21.22 million (Q1 2026), $21.32 million (Q4 2025) and $18.37 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | 107.80 Bn |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | 115.90 Bn |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | 152.26 Bn |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | 87.83 Bn |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | 68.11 Bn |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | 81.70 Bn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | 38.37 Bn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | 115.70 Bn |
| 10 | SAB Biotherapeutics | 279.79 Mn | -130.87 Mn | - | 24.72 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 24.72 Mn |
| Jun 30, 2026 | 23.43 Mn |
| Mar 31, 2026 | 21.22 Mn |
| Dec 31, 2025 | 21.32 Mn |
| Sep 30, 2025 | 18.37 Mn |
| Jun 30, 2025 | 18.11 Mn |
| Mar 31, 2025 | 16.71 Mn |
| Dec 31, 2024 | 18.23 Mn |
| Sep 30, 2024 | 16.89 Mn |
| Jun 30, 2024 | 15.77 Mn |
| Mar 31, 2024 | 18.55 Mn |
| Dec 31, 2023 | 26.64 Mn |
| Sep 30, 2023 | 13.08 Mn |
| Jun 30, 2023 | 15.73 Mn |
| Mar 31, 2023 | 18.27 Mn |
| Dec 31, 2022 | 19.85 Mn |
| Sep 30, 2022 | 21.88 Mn |
| Jun 30, 2022 | 22.29 Mn |
| Mar 31, 2022 | 27.23 Mn |
| Dec 31, 2021 | 42.59 Mn |
SAB Biotherapeutics Total 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-liabilities&ticker=SABS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=SABS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();