Seres Therapeutics (MCRB) Other Non-Current Liabilities (2014 - 2026)
Seres Therapeutics (MCRB) posted Other Non-Current Liabilities of $2.21 million for Q2 2026, up 12.9% from $1.95 million a year earlier and up 3.1% from the prior quarter.
Seres Therapeutics (MCRB) Other Non-Current Liabilities (2014 - 2026) Analysis & Trends
At the end of FY2025, Seres Therapeutics' Other Non-Current Liabilities came in at $2.08 million, up 13.0% from FY2024.
- Annual Other Non-Current Liabilities has increased for three consecutive years, with a five-year compound annual growth rate of 15.7% (FY2020 to FY2025).
- In prior years, Seres Therapeutics' Other Non-Current Liabilities was $1.84 million in FY2024 (+12.9%), $1.63 million in FY2023 (+12.9%), $1.44 million in FY2022 (-87.5%) and $11.5 million in FY2021.
- The Q2 2026 figure stands as the highest quarterly Other Non-Current Liabilities since Q1 2022.
- On a year-over-year basis, Other Non-Current Liabilities has increased in each of the last eight quarters, with growth averaging 13.0% over the last eight quarters.
- The strongest year-over-year quarter for Other Non-Current Liabilities in the past five years was Q3 2021, with growth of 731.1%; the weakest was Q3 2022, with a decline of 88.3%.
- According to Business Quant data, Other Non-Current Liabilities for the three prior quarters was $2.14 million (Q1 2026), $2.08 million (Q4 2025) and $2.01 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,136.97 Bn | 1,105.55 Bn | 19.71 Bn |
| 2 | Johnson & Johnson | 619.72 Bn | 538.25 Bn | 17.26 Bn |
| 3 | AbbVie | 503.40 Bn | 476.52 Bn | 12.70 Bn |
| 4 | Merck | 370.15 Bn | 324.53 Bn | 12.21 Bn |
| 5 | Novartis Ag | 298.64 Bn | 262.63 Bn | 11.24 Bn |
| 6 | Astrazeneca | 261.07 Bn | 234.76 Bn | 12.86 Bn |
| 7 | Amgen | 237.00 Bn | 192.40 Bn | 7.24 Bn |
| 8 | Gilead Sciences | 191.24 Bn | 165.43 Bn | 6.22 Bn |
| 9 | Pfizer | 170.31 Bn | 116.96 Bn | 10.94 Bn |
| 10 | Seres Therapeutics | 22.42 Mn | -116.41 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.21 Mn |
| Mar 31, 2026 | 2.14 Mn |
| Dec 31, 2025 | 2.08 Mn |
| Sep 30, 2025 | 2.01 Mn |
| Jun 30, 2025 | 1.95 Mn |
| Mar 31, 2025 | 1.90 Mn |
| Dec 31, 2024 | 1.84 Mn |
| Sep 30, 2024 | 1.78 Mn |
| Jun 30, 2024 | 1.73 Mn |
| Mar 31, 2024 | 1.81 Mn |
| Dec 31, 2023 | 2.17 Mn |
| Sep 30, 2023 | 2.54 Mn |
| Jun 30, 2023 | 3.50 Mn |
| Mar 31, 2023 | 1.49 Mn |
| Dec 31, 2022 | 1.44 Mn |
| Sep 30, 2022 | 961,000.00 |
| Jun 30, 2022 | 943,000.00 |
| Mar 31, 2022 | 3.91 Mn |
| Dec 31, 2021 | 11.50 Mn |
| Sep 30, 2021 | 8.20 Mn |
Seres Therapeutics Other 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=other-non-current-liabilities&ticker=MCRB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-non-current-liabilities&ticker=MCRB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();