Synlogic (SYBX) Operating Expenses (2014 - 2026)
Synlogic (SYBX) recorded Operating Expenses of $1.01 million in Q2 2026, up 30.2% from $777,000 a year earlier.
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Analysis
Synlogic (SYBX) Operating Expenses (2014 - 2026) Analysis & Trends
On a TTM basis, Synlogic's Operating Expenses came in at $4.12 million as of Jun 30, 2026, down 1.8% year-over-year; for FY2025, it came in at $4.01 million, down 90.2% from FY2024.
- Annual Operating Expenses has declined for three straight years, with a five-year compound annual growth rate of -42.0% (FY2020 to FY2025).
- Across earlier years, Operating Expenses came in at $40.96 million in FY2024 (-30.0%), $58.53 million in FY2023 (-14.7%), $68.6 million in FY2022 (+9.7%) and $62.52 million in FY2021 (+2.5%).
- Quarterly Operating Expenses has ranged from -$419,000 in Q2 2024 to $38.85 million in Q1 2024 over the past five years.
- On a year-over-year basis, Operating Expenses rose in two of the last six quarters, with an average decline of 40.1%.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 136.7% in Q1 2024, against a decline of 97.7% in Q1 2025 at the low end.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,230.11 Bn | 1,198.70 Bn | 19.71 Bn | 7.95 Bn |
| 2 | Johnson & Johnson | 644.39 Bn | 564.25 Bn | 17.30 Bn | 11.12 Bn |
| 3 | AbbVie | 503.52 Bn | 476.68 Bn | 12.70 Bn | 10.56 Bn |
| 4 | Merck | 363.29 Bn | 317.72 Bn | 12.21 Bn | 12.80 Bn |
| 5 | Novartis Ag | 298.23 Bn | 262.62 Bn | 11.24 Bn | 6.09 Bn |
| 6 | Astrazeneca | 267.53 Bn | 241.29 Bn | 12.86 Bn | 9.70 Bn |
| 7 | Amgen | 241.80 Bn | 197.20 Bn | 7.24 Bn | 6.54 Bn |
| 8 | Gilead Sciences | 195.07 Bn | 169.19 Bn | 6.22 Bn | 18.20 Bn |
| 9 | Pfizer | 173.33 Bn | 120.28 Bn | 10.94 Bn | 6.68 Bn |
| 10 | Synlogic | 11.70 Mn | -48.77 Mn | - | 1.01 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.01 Mn |
| Dec 31, 2025 | 1.34 Mn |
| Sep 30, 2025 | 991,000.00 |
| Jun 30, 2025 | 777,000.00 |
| Mar 31, 2025 | 898,000.00 |
| Dec 31, 2024 | 1.78 Mn |
| Sep 30, 2024 | 748,000.00 |
| Jun 30, 2024 | -419,000.00 |
| Mar 31, 2024 | 38.85 Mn |
| Dec 31, 2023 | 13.41 Mn |
| Sep 30, 2023 | 13.02 Mn |
| Jun 30, 2023 | 15.69 Mn |
| Mar 31, 2023 | 16.42 Mn |
| Dec 31, 2022 | 17.41 Mn |
| Sep 30, 2022 | 19.01 Mn |
| Jun 30, 2022 | 16.17 Mn |
| Mar 31, 2022 | 16.01 Mn |
| Dec 31, 2021 | 15.74 Mn |
| Sep 30, 2021 | 16.97 Mn |
| Jun 30, 2021 | 14.78 Mn |
API Access
Synlogic 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=SYBX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "SYBX", "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=SYBX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();