Sagimet Biosciences (SGMT) Operating Expenses (2022 - 2026)
Sagimet Biosciences (SGMT) reported Operating Expenses of $15.82 million for Q2 2026, up 32.6% from $11.93 million a year earlier and up 35.0% from the prior quarter.
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Analysis
Sagimet Biosciences (SGMT) Operating Expenses (2022 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Sagimet Biosciences' Operating Expenses came in at $52.63 million, down 21.3% year-over-year; for FY2025, it was $56.89 million, up 4.5% from FY2024.
- Operating Expenses has increased for three consecutive years, with a three-year compound annual growth rate of 22.4% (FY2022 to FY2025).
- By year, Operating Expenses came in at $54.45 million in FY2024 (+66.3%), $32.74 million in FY2023 (+5.4%) and $31.06 million in FY2022.
- The Q2 2026 figure ranks as the highest quarterly Operating Expenses since Q1 2025.
- Year over year, Operating Expenses gained in five of the last eight quarters, with growth averaging 30.7%.
- The high point for year-over-year Operating Expenses in five years was Q1 2025 (growth of 126.6%); the low point was Q1 2026 (a decline of 41.0%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $11.71 million (Q1 2026), $10.77 million (Q4 2025) and $14.33 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,264.65 Bn | 1,238.27 Bn | 20.46 Bn | 7.68 Bn |
| 2 | Johnson & Johnson | 677.74 Bn | 597.60 Bn | 17.30 Bn | 11.12 Bn |
| 3 | AbbVie | 517.10 Bn | 485.11 Bn | 13.12 Bn | 11.14 Bn |
| 4 | Merck | 362.23 Bn | 325.17 Bn | 13.19 Bn | 7.61 Bn |
| 5 | Novartis Ag | 315.90 Bn | 276.16 Bn | 11.24 Bn | 6.09 Bn |
| 6 | Astrazeneca | 289.40 Bn | 266.24 Bn | 12.86 Bn | 9.70 Bn |
| 7 | Amgen | 249.90 Bn | 201.56 Bn | 7.58 Bn | 6.66 Bn |
| 8 | Gilead Sciences | 209.15 Bn | 184.26 Bn | 6.73 Bn | 4.84 Bn |
| 9 | Pfizer | 165.88 Bn | 113.23 Bn | 12.56 Bn | 7.09 Bn |
| 10 | Sagimet Biosciences | 569.92 Mn | -4.57 Mn | - | 15.82 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 15.82 Mn |
| Mar 31, 2026 | 11.71 Mn |
| Dec 31, 2025 | 10.77 Mn |
| Sep 30, 2025 | 14.33 Mn |
| Jun 30, 2025 | 11.93 Mn |
| Mar 31, 2025 | 19.87 Mn |
| Dec 31, 2024 | 18.20 Mn |
| Sep 30, 2024 | 16.90 Mn |
| Jun 30, 2024 | 10.59 Mn |
| Mar 31, 2024 | 8.77 Mn |
| Dec 31, 2023 | 9.47 Mn |
| Sep 30, 2023 | 9.45 Mn |
| Jun 30, 2023 | 7.06 Mn |
| Mar 31, 2023 | 6.77 Mn |
| Dec 31, 2022 | 7.39 Mn |
| Sep 30, 2022 | 7.69 Mn |
| Jun 30, 2022 | 7.24 Mn |
API Access
Sagimet Biosciences 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=SGMT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "SGMT", "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=SGMT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();