Seer (SEER) Non-Current Assets (2020 - 2026)
Seer (SEER) posted Non-Current Assets of $90.54 million for Q2 2026, down 6.5% from $96.85 million a year earlier and unchanged from the prior quarter.
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Analysis
Seer (SEER) Non-Current Assets (2020 - 2026) Analysis & Trends
At the end of FY2025, Seer's Non-Current Assets came in at $94.55 million, down 16.5% from FY2024.
- Annual Non-Current Assets shows a five-year compound annual growth rate of 59.4% (FY2020 to FY2025).
- In prior years, Seer's Non-Current Assets was $113.27 million in FY2024 (+7.1%), $105.76 million in FY2023 (+99.7%), $52.95 million in FY2022 (-58.5%) and $127.44 million in FY2021.
- Quarterly Non-Current Assets has run from a low of $13.57 million in Q3 2021 to a high of $127.44 million in Q4 2021 over five years.
- On a year-over-year basis, Non-Current Assets has declined in each of the last six quarters, with an average decline of 4.1% over the last eight quarters.
- The strongest year-over-year quarter for Non-Current Assets in the past five years was Q1 2022, with growth of 640.6%; the weakest was Q4 2022, with a decline of 58.5%.
- According to Business Quant data, Non-Current Assets for the three prior quarters was $90.54 million (Q1 2026), $94.55 million (Q4 2025) and $94.25 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.84 Bn | 229.99 Bn | 4.88 Bn | 89.81 Bn |
| 2 | Abbott Laboratories | 174.73 Bn | 145.82 Bn | 7.27 Bn | 84.70 Bn |
| 3 | Danaher | 159.85 Bn | 143.67 Bn | 3.61 Bn | 78.99 Bn |
| 4 | Intuitive Surgical | 146.79 Bn | 126.35 Bn | 1.96 Bn | 11.33 Bn |
| 5 | Medtronic | 114.54 Bn | 80.41 Bn | 6.34 Bn | 68.92 Bn |
| 6 | Stryker | 105.67 Bn | 91.79 Bn | 4.50 Bn | 33.51 Bn |
| 7 | Boston Scientific | 63.93 Bn | 58.94 Bn | 3.85 Bn | 37.24 Bn |
| 8 | Becton Dickinson | 50.12 Bn | 47.27 Bn | 2.32 Bn | 42.59 Bn |
| 9 | Edwards Lifesciences | 50.06 Bn | 34.17 Bn | 1.35 Bn | 7.05 Bn |
| 10 | Seer | 225.08 Mn | 225.08 Mn | 1.51 Mn | 90.54 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 90.54 Mn |
| Mar 31, 2026 | 90.54 Mn |
| Dec 31, 2025 | 94.55 Mn |
| Sep 30, 2025 | 94.25 Mn |
| Jun 30, 2025 | 96.85 Mn |
| Mar 31, 2025 | 91.99 Mn |
| Dec 31, 2024 | 113.27 Mn |
| Sep 30, 2024 | 119.32 Mn |
| Jun 30, 2024 | 106.92 Mn |
| Mar 31, 2024 | 97.81 Mn |
| Dec 31, 2023 | 105.76 Mn |
| Sep 30, 2023 | 98.73 Mn |
| Jun 30, 2023 | 125.81 Mn |
| Mar 31, 2023 | 105.41 Mn |
| Dec 31, 2022 | 52.95 Mn |
| Sep 30, 2022 | 49.74 Mn |
| Jun 30, 2022 | 49.54 Mn |
| Mar 31, 2022 | 69.63 Mn |
| Dec 31, 2021 | 127.44 Mn |
| Sep 30, 2021 | 13.57 Mn |
API Access
Seer Non-Current Assets 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=non-current-assets&ticker=SEER&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "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=non-current-assets&ticker=SEER&period=max&api_key=YOUR_API_KEY");
const data = await res.json();