Seer (SEER) Accumulated Expenses (2020 - 2026)
Seer (SEER) posted Accumulated Expenses of $5 million for Q2 2026, down 18.1% from $6.11 million a year earlier but up 5.7% from the prior quarter.
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Analysis
Seer (SEER) Accumulated Expenses (2020 - 2026) Analysis & Trends
At the end of FY2025, Seer's Accumulated Expenses came in at $7.14 million, down 10.1% from FY2024.
- Annual Accumulated Expenses shows a five-year compound annual growth rate of 6.8% (FY2020 to FY2025).
- In prior years, Seer's Accumulated Expenses was $7.94 million in FY2024 (-13.8%), $9.21 million in FY2023 (+11.0%), $8.3 million in FY2022 (-1.1%) and $8.39 million in FY2021 (+63.1%).
- Quarterly Accumulated Expenses has run from a low of $4.73 million in Q1 2026 to a high of $10.9 million in Q3 2024 over five years.
- On a year-over-year basis, Accumulated Expenses has declined in each of the last seven quarters, with an average decline of 16.4% over the last eight quarters.
- The strongest year-over-year quarter for Accumulated Expenses in the past five years was Q2 2022, with growth of 63.5%; the weakest was Q2 2025, with a decline of 37.8%.
- According to Business Quant data, Accumulated Expenses for the three prior quarters was $4.73 million (Q1 2026), $7.14 million (Q4 2025) and $7.77 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn |
| 10 | Seer | 247.26 Mn | 247.26 Mn | 1.51 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.00 Mn |
| Mar 31, 2026 | 4.73 Mn |
| Dec 31, 2025 | 7.14 Mn |
| Sep 30, 2025 | 7.77 Mn |
| Jun 30, 2025 | 6.11 Mn |
| Mar 31, 2025 | 6.11 Mn |
| Dec 31, 2024 | 7.94 Mn |
| Sep 30, 2024 | 10.90 Mn |
| Jun 30, 2024 | 9.82 Mn |
| Mar 31, 2024 | 7.57 Mn |
| Dec 31, 2023 | 9.21 Mn |
| Sep 30, 2023 | 9.15 Mn |
| Jun 30, 2023 | 7.93 Mn |
| Mar 31, 2023 | 7.18 Mn |
| Dec 31, 2022 | 8.30 Mn |
| Sep 30, 2022 | 7.82 Mn |
| Jun 30, 2022 | 9.14 Mn |
| Mar 31, 2022 | 6.38 Mn |
| Dec 31, 2021 | 8.39 Mn |
| Sep 30, 2021 | 5.97 Mn |
API Access
Seer Accumulated 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=accumulated-expenses&ticker=SEER&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=SEER&period=max&api_key=YOUR_API_KEY");
const data = await res.json();