Seres Therapeutics (MCRB) Operating Expenses (2014 - 2026)
Seres Therapeutics (MCRB) posted Operating Expenses of $22.01 million for Q2 2026, down 11.5% from $24.88 million a year earlier but up 3.5% from the prior quarter.
Powered by 
Analysis
Seres Therapeutics (MCRB) Operating Expenses (2014 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at Seres Therapeutics was $85.92 million, down 22.0% year-over-year; for FY2025, it was $94.76 million, down 21.9% from FY2024.
- Annual Operating Expenses shows a five-year compound annual growth rate of -4.8% (FY2020 to FY2025).
- In prior years, Seres Therapeutics' Operating Expenses was $121.32 million in FY2024 (-37.8%), $195.1 million in FY2023 (+8.4%), $179.91 million in FY2022 (-14.1%) and $209.42 million in FY2021 (+72.6%).
- Quarterly Operating Expenses has run from a low of -$4.42 million in Q4 2022 to a high of $76.95 million in Q2 2023 over five years.
- On a year-over-year basis, Operating Expenses has declined in each of the last ten quarters, with an average decline of 22.2% over the last eight quarters.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q3 2021, with growth of 85.7%; the weakest was Q2 2024, with a decline of 62.5%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $21.27 million (Q1 2026), $19.82 million (Q4 2025) and $22.83 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,136.71 Bn | 1,105.29 Bn | 19.71 Bn | 7.95 Bn |
| 2 | Johnson & Johnson | 617.55 Bn | 536.07 Bn | 17.26 Bn | 10.12 Bn |
| 3 | AbbVie | 501.02 Bn | 474.13 Bn | 12.70 Bn | 10.56 Bn |
| 4 | Merck | 368.18 Bn | 322.56 Bn | 12.21 Bn | 12.80 Bn |
| 5 | Novartis Ag | 297.89 Bn | 261.88 Bn | 11.24 Bn | 6.09 Bn |
| 6 | Astrazeneca | 261.33 Bn | 235.02 Bn | 12.86 Bn | 9.70 Bn |
| 7 | Amgen | 236.60 Bn | 191.99 Bn | 7.24 Bn | 6.54 Bn |
| 8 | Gilead Sciences | 190.55 Bn | 164.75 Bn | 6.22 Bn | 18.20 Bn |
| 9 | Pfizer | 169.77 Bn | 116.42 Bn | 10.94 Bn | 6.68 Bn |
| 10 | Seres Therapeutics | 22.52 Mn | -116.31 Mn | - | 22.01 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 22.01 Mn |
| Mar 31, 2026 | 21.27 Mn |
| Dec 31, 2025 | 19.82 Mn |
| Sep 30, 2025 | 22.83 Mn |
| Jun 30, 2025 | 24.88 Mn |
| Mar 31, 2025 | 27.24 Mn |
| Dec 31, 2024 | 28.84 Mn |
| Sep 30, 2024 | 29.17 Mn |
| Jun 30, 2024 | 28.87 Mn |
| Mar 31, 2024 | 34.44 Mn |
| Dec 31, 2023 | 37.02 Mn |
| Sep 30, 2023 | 44.59 Mn |
| Jun 30, 2023 | 76.95 Mn |
| Mar 31, 2023 | 70.05 Mn |
| Dec 31, 2022 | -4.42 Mn |
| Sep 30, 2022 | 62.55 Mn |
| Jun 30, 2022 | 64.54 Mn |
| Mar 31, 2022 | 57.24 Mn |
| Dec 31, 2021 | 56.65 Mn |
| Sep 30, 2021 | 58.32 Mn |
API Access
Seres Therapeutics Operating Expenses 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=operating-expenses&ticker=MCRB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=MCRB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();