Seres Therapeutics (MCRB) Total Non-Current Liabilities (2014 - 2026)
Seres Therapeutics (MCRB) posted Total Non-Current Liabilities of $64.85 million for Q2 2026, down 40.5% from $108.9 million a year earlier and down 27.1% from the prior quarter.
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Analysis
Seres Therapeutics (MCRB) Total Non-Current Liabilities (2014 - 2026) Analysis & Trends
At the end of FY2025, Seres Therapeutics' Total Non-Current Liabilities came in at $91.9 million, down 26.0% from FY2024.
- Annual Total Non-Current Liabilities shows a five-year compound annual growth rate of -11.3% (FY2020 to FY2025).
- In prior years, Seres Therapeutics' Total Non-Current Liabilities was $124.19 million in FY2024 (-69.1%), $401.83 million in FY2023 (+19.4%), $336.56 million in FY2022 (+58.9%) and $211.86 million in FY2021 (+26.7%).
- The Q2 2026 figure stands as the lowest quarterly Total Non-Current Liabilities since Q4 2015.
- On a year-over-year basis, Total Non-Current Liabilities has declined in each of the last eight quarters, with an average decline of 49.6% over the last eight quarters.
- The strongest year-over-year quarter for Total Non-Current Liabilities in the past five years was Q4 2022, with growth of 58.9%; the weakest was Q2 2025, with a decline of 73.2%.
- According to Business Quant data, Total Non-Current Liabilities for the three prior quarters was $88.98 million (Q1 2026), $91.9 million (Q4 2025) and $97.76 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,136.97 Bn | 1,105.55 Bn | 19.71 Bn | 60.66 Bn |
| 2 | Johnson & Johnson | 619.72 Bn | 538.25 Bn | 17.26 Bn | 105.50 Bn |
| 3 | AbbVie | 503.40 Bn | 476.52 Bn | 12.70 Bn | 106.45 Bn |
| 4 | Merck | 370.15 Bn | 324.53 Bn | 12.21 Bn | 80.25 Bn |
| 5 | Novartis Ag | 298.64 Bn | 262.63 Bn | 11.24 Bn | 48.34 Bn |
| 6 | Astrazeneca | 261.07 Bn | 234.76 Bn | 12.86 Bn | 33.91 Bn |
| 7 | Amgen | 237.00 Bn | 192.40 Bn | 7.24 Bn | 78.66 Bn |
| 8 | Gilead Sciences | 191.24 Bn | 165.43 Bn | 6.22 Bn | 35.10 Bn |
| 9 | Pfizer | 170.31 Bn | 116.96 Bn | 10.94 Bn | 97.04 Bn |
| 10 | Seres Therapeutics | 22.42 Mn | -116.41 Mn | - | 64.85 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 64.85 Mn |
| Mar 31, 2026 | 88.98 Mn |
| Dec 31, 2025 | 91.90 Mn |
| Sep 30, 2025 | 97.76 Mn |
| Jun 30, 2025 | 108.90 Mn |
| Mar 31, 2025 | 111.82 Mn |
| Dec 31, 2024 | 124.19 Mn |
| Sep 30, 2024 | 153.04 Mn |
| Jun 30, 2024 | 407.08 Mn |
| Mar 31, 2024 | 399.19 Mn |
| Dec 31, 2023 | 401.28 Mn |
| Sep 30, 2023 | 380.29 Mn |
| Jun 30, 2023 | 380.27 Mn |
| Mar 31, 2023 | 316.58 Mn |
| Dec 31, 2022 | 336.56 Mn |
| Sep 30, 2022 | 243.32 Mn |
| Jun 30, 2022 | 249.20 Mn |
| Mar 31, 2022 | 235.03 Mn |
| Dec 31, 2021 | 211.86 Mn |
| Sep 30, 2021 | 212.35 Mn |
API Access
Seres Therapeutics Total Non-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-non-current-liabilities&ticker=MCRB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-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-non-current-liabilities&ticker=MCRB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();