Seres Therapeutics (MCRB) Total Liabilities (2014 - 2026)
Seres Therapeutics' Total Liabilities was $67.05 million in Q2 2026, down 39.5% from $110.85 million a year earlier and down 26.4% from the prior quarter.
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Analysis
Seres Therapeutics (MCRB) Total Liabilities (2014 - 2026) Analysis & Trends
At the end of FY2025, Total Liabilities at Seres Therapeutics came in at $93.98 million, down 25.4% from FY2024.
- Total Liabilities shows a five-year compound annual growth rate of -11.0% (FY2020 to FY2025).
- In earlier years, Total Liabilities was $126.03 million in FY2024 (-68.8%), $403.46 million in FY2023 (+19.4%), $338 million in FY2022 (+51.3%) and $223.35 million in FY2021 (+32.8%).
- The Q2 2026 figure marks the lowest quarterly Total Liabilities since Q4 2015.
- Compared with a year earlier, Total Liabilities has declined for eight straight quarters, with an average decline of 49.2% over the last eight quarters.
- The best year-over-year quarter for Total Liabilities over five years was Q3 2023 (growth of 56.7%); the worst was Q2 2025 (a decline of 72.9%).
- Per Business Quant data, MCRB's Total Liabilities in the three quarters before Q2 2026 was $91.12 million (Q1 2026), $93.98 million (Q4 2025) and $99.78 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,136.97 Bn | 1,105.55 Bn | 19.71 Bn | 108.40 Bn |
| 2 | Johnson & Johnson | 619.72 Bn | 538.25 Bn | 17.26 Bn | 116.09 Bn |
| 3 | AbbVie | 503.40 Bn | 476.52 Bn | 12.70 Bn | 141.05 Bn |
| 4 | Merck | 370.15 Bn | 324.53 Bn | 12.21 Bn | 87.82 Bn |
| 5 | Novartis Ag | 298.64 Bn | 262.63 Bn | 11.24 Bn | 80.09 Bn |
| 6 | Astrazeneca | 261.07 Bn | 234.76 Bn | 12.86 Bn | 65.46 Bn |
| 7 | Amgen | 237.00 Bn | 192.40 Bn | 7.24 Bn | 83.95 Bn |
| 8 | Gilead Sciences | 191.24 Bn | 165.43 Bn | 6.22 Bn | 37.53 Bn |
| 9 | Pfizer | 170.31 Bn | 116.96 Bn | 10.94 Bn | 115.64 Bn |
| 10 | Seres Therapeutics | 22.42 Mn | -116.41 Mn | - | 67.05 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 67.05 Mn |
| Mar 31, 2026 | 91.12 Mn |
| Dec 31, 2025 | 93.98 Mn |
| Sep 30, 2025 | 99.78 Mn |
| Jun 30, 2025 | 110.85 Mn |
| Mar 31, 2025 | 113.72 Mn |
| Dec 31, 2024 | 126.03 Mn |
| Sep 30, 2024 | 154.82 Mn |
| Jun 30, 2024 | 408.81 Mn |
| Mar 31, 2024 | 401.00 Mn |
| Dec 31, 2023 | 403.46 Mn |
| Sep 30, 2023 | 382.82 Mn |
| Jun 30, 2023 | 383.77 Mn |
| Mar 31, 2023 | 318.07 Mn |
| Dec 31, 2022 | 338.00 Mn |
| Sep 30, 2022 | 244.28 Mn |
| Jun 30, 2022 | 250.14 Mn |
| Mar 31, 2022 | 238.93 Mn |
| Dec 31, 2021 | 223.35 Mn |
| Sep 30, 2021 | 220.56 Mn |
API Access
Seres Therapeutics 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=MCRB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "MCRB", "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=MCRB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();