Seres Therapeutics (MCRB) Total Current Liabilities (2014 - 2026)
Seres Therapeutics (MCRB) reported Total Current Liabilities of $20.03 million for Q2 2026, down 35.3% from $30.94 million a year earlier but up 3.6% from the prior quarter.
Seres Therapeutics (MCRB) Total Current Liabilities (2014 - 2026) Analysis & Trends
At the end of FY2025, Seres Therapeutics posted Total Current Liabilities of $19.32 million, down 53.1% from FY2024.
- Total Current Liabilities has a five-year compound annual growth rate of -16.1% (FY2020 to FY2025).
- By year, Total Current Liabilities came in at $41.22 million in FY2024 (-58.2%), $98.66 million in FY2023 (+15.3%), $85.6 million in FY2022 (+4.1%) and $82.26 million in FY2021 (+77.2%).
- Five-year quarterly Total Current Liabilities spans a low of $19.32 million in Q4 2025 and a high of $108.28 million in Q2 2024.
- Year over year, Total Current Liabilities has now declined in each of the last eight quarters, with an average decline of 51.0% over the last eight quarters.
- The high point for year-over-year Total Current Liabilities in five years was Q3 2021 (growth of 106.7%); the low point was Q2 2025 (a decline of 71.4%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $19.34 million (Q1 2026), $19.32 million (Q4 2025) and $22.43 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,130.38 Bn | 1,098.96 Bn | 19.71 Bn | 47.74 Bn |
| 2 | Johnson & Johnson | 613.84 Bn | 532.37 Bn | 17.26 Bn | 54.90 Bn |
| 3 | AbbVie | 502.13 Bn | 475.24 Bn | 12.70 Bn | 41.64 Bn |
| 4 | Merck | 367.76 Bn | 322.14 Bn | 12.21 Bn | 27.73 Bn |
| 5 | Novartis Ag | 298.08 Bn | 262.07 Bn | 11.24 Bn | 31.75 Bn |
| 6 | Astrazeneca | 262.03 Bn | 235.71 Bn | 12.86 Bn | 31.55 Bn |
| 7 | Amgen | 235.81 Bn | 191.21 Bn | 7.24 Bn | 25.50 Bn |
| 8 | Gilead Sciences | 190.97 Bn | 165.17 Bn | 6.22 Bn | 11.02 Bn |
| 9 | Pfizer | 169.66 Bn | 116.31 Bn | 10.94 Bn | 32.65 Bn |
| 10 | Seres Therapeutics | 22.71 Mn | -116.12 Mn | - | 20.03 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 20.03 Mn |
| Mar 31, 2026 | 19.34 Mn |
| Dec 31, 2025 | 19.32 Mn |
| Sep 30, 2025 | 22.43 Mn |
| Jun 30, 2025 | 30.94 Mn |
| Mar 31, 2025 | 31.32 Mn |
| Dec 31, 2024 | 41.22 Mn |
| Sep 30, 2024 | 64.83 Mn |
| Jun 30, 2024 | 108.28 Mn |
| Mar 31, 2024 | 98.48 Mn |
| Dec 31, 2023 | 98.66 Mn |
| Sep 30, 2023 | 79.23 Mn |
| Jun 30, 2023 | 77.90 Mn |
| Mar 31, 2023 | 63.82 Mn |
| Dec 31, 2022 | 85.60 Mn |
| Sep 30, 2022 | 81.82 Mn |
| Jun 30, 2022 | 89.04 Mn |
| Mar 31, 2022 | 82.36 Mn |
| Dec 31, 2021 | 82.26 Mn |
| Sep 30, 2021 | 94.59 Mn |
Seres Therapeutics Total Current 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-current-liabilities&ticker=MCRB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-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-current-liabilities&ticker=MCRB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();