Seer (SEER) Operating Expenses (2020 - 2026)
Seer (SEER) reported Operating Expenses of $18.35 million for Q2 2026, down 19.0% from $22.64 million a year earlier but up 0.6% from the prior quarter.
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Analysis
Seer (SEER) Operating Expenses (2020 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Seer's Operating Expenses came in at $77.61 million, down 20.2% year-over-year; for FY2025, it came in at $86.46 million, down 19.3% from FY2024.
- Operating Expenses has a five-year compound annual growth rate of 20.3% (FY2020 to FY2025).
- By year, Operating Expenses came in at $107.16 million in FY2024 (-4.3%), $111.97 million in FY2023 (+7.3%), $104.33 million in FY2022 (+39.3%) and $74.89 million in FY2021 (+118.3%).
- Five-year quarterly Operating Expenses spans a low of $18.24 million in Q1 2026 and a high of $30.22 million in Q2 2023.
- Year over year, Operating Expenses has now declined in each of the last six quarters, with an average decline of 14.6% over the last eight quarters.
- The high point for year-over-year Operating Expenses in five years was Q3 2021 (growth of 130.9%); the low point was Q4 2025 (a decline of 23.3%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $18.24 million (Q1 2026), $19.57 million (Q4 2025) and $21.46 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 257.79 Bn | 234.30 Bn | 5.13 Bn | 9.87 Bn |
| 2 | Abbott Laboratories | 190.83 Bn | 164.70 Bn | 7.39 Bn | 11.66 Bn |
| 3 | Danaher | 162.10 Bn | 141.75 Bn | 3.84 Bn | 2.59 Bn |
| 4 | Intuitive Surgical | 158.05 Bn | 138.34 Bn | 2.08 Bn | 1.49 Bn |
| 5 | Medtronic | 130.31 Bn | 95.56 Bn | 6.34 Bn | 4.06 Bn |
| 6 | Stryker | 124.76 Bn | 110.95 Bn | 4.25 Bn | 3.21 Bn |
| 7 | Boston Scientific | 62.03 Bn | 57.46 Bn | 3.43 Bn | 2.60 Bn |
| 8 | Edwards Lifesciences | 58.73 Bn | 41.94 Bn | 1.35 Bn | 844.30 Mn |
| 9 | Becton Dickinson | 58.33 Bn | 55.48 Bn | 2.32 Bn | 4.32 Bn |
| 10 | Seer | 90.08 Mn | -614.57 Mn | 1.51 Mn | 18.35 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 18.35 Mn |
| Mar 31, 2026 | 18.24 Mn |
| Dec 31, 2025 | 19.57 Mn |
| Sep 30, 2025 | 21.46 Mn |
| Jun 30, 2025 | 22.64 Mn |
| Mar 31, 2025 | 22.79 Mn |
| Dec 31, 2024 | 25.51 Mn |
| Sep 30, 2024 | 26.26 Mn |
| Jun 30, 2024 | 28.83 Mn |
| Mar 31, 2024 | 26.55 Mn |
| Dec 31, 2023 | 24.23 Mn |
| Sep 30, 2023 | 28.00 Mn |
| Jun 30, 2023 | 30.22 Mn |
| Mar 31, 2023 | 29.51 Mn |
| Dec 31, 2022 | 27.24 Mn |
| Sep 30, 2022 | 27.01 Mn |
| Jun 30, 2022 | 25.04 Mn |
| Mar 31, 2022 | 25.03 Mn |
| Dec 31, 2021 | 21.31 Mn |
| Sep 30, 2021 | 19.60 Mn |
API Access
Seer 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=SEER&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "SEER", "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=SEER&period=max&api_key=YOUR_API_KEY");
const data = await res.json();