Seer (SEER) Property, Plant & Equipment (Net) (2020 - 2026)
Seer (SEER) posted Property, Plant & Equipment (Net) of $12.18 million for Q2 2026, down 26.2% from $16.5 million a year earlier and down 9.7% from the prior quarter.
Seer (SEER) Property, Plant & Equipment (Net) (2020 - 2026) Analysis & Trends
At the end of FY2025, Seer's Property, Plant & Equipment (Net) came in at $14.75 million, down 20.6% from FY2024.
- Annual Property, Plant & Equipment (Net) shows a five-year compound annual growth rate of 11.8% (FY2020 to FY2025).
- In prior years, Seer's Property, Plant & Equipment (Net) was $18.58 million in FY2024 (-16.3%), $22.19 million in FY2023 (+14.3%), $19.41 million in FY2022 (+48.3%) and $13.09 million in FY2021 (+55.0%).
- The Q2 2026 figure stands as the lowest quarterly Property, Plant & Equipment (Net) since Q2 2021.
- On a year-over-year basis, Property, Plant & Equipment (Net) has declined in each of the last nine quarters, with an average decline of 19.1% over the last eight quarters.
- The strongest year-over-year quarter for Property, Plant & Equipment (Net) in the past five years was Q1 2022, with growth of 57.3%; the weakest was Q2 2026, with a decline of 26.2%.
- According to Business Quant data, Property, Plant & Equipment (Net) for the three prior quarters was $13.49 million (Q1 2026), $14.75 million (Q4 2025) and $15.47 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 242.18 Bn | 221.33 Bn | 4.88 Bn | 10.76 Bn |
| 2 | Abbott Laboratories | 168.71 Bn | 139.79 Bn | 7.27 Bn | 12.81 Bn |
| 3 | Danaher | 150.46 Bn | 134.27 Bn | 3.61 Bn | 5.83 Bn |
| 4 | Intuitive Surgical | 138.71 Bn | 118.26 Bn | 1.96 Bn | 5.55 Bn |
| 5 | Medtronic | 110.54 Bn | 76.41 Bn | 6.34 Bn | 7.47 Bn |
| 6 | Stryker | 105.66 Bn | 91.78 Bn | 4.50 Bn | 3.96 Bn |
| 7 | Boston Scientific | 61.74 Bn | 56.75 Bn | 3.85 Bn | 4.13 Bn |
| 8 | Edwards Lifesciences | 49.09 Bn | 33.21 Bn | 1.35 Bn | 1.84 Bn |
| 9 | Becton Dickinson | 48.16 Bn | 45.31 Bn | 2.32 Bn | 6.08 Bn |
| 10 | Seer | 249.48 Mn | 249.48 Mn | 1.51 Mn | 12.18 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 12.18 Mn |
| Mar 31, 2026 | 13.49 Mn |
| Dec 31, 2025 | 14.75 Mn |
| Sep 30, 2025 | 15.47 Mn |
| Jun 30, 2025 | 16.50 Mn |
| Mar 31, 2025 | 17.04 Mn |
| Dec 31, 2024 | 18.58 Mn |
| Sep 30, 2024 | 20.68 Mn |
| Jun 30, 2024 | 20.44 Mn |
| Mar 31, 2024 | 21.18 Mn |
| Dec 31, 2023 | 22.19 Mn |
| Sep 30, 2023 | 21.73 Mn |
| Jun 30, 2023 | 22.12 Mn |
| Mar 31, 2023 | 18.68 Mn |
| Dec 31, 2022 | 19.41 Mn |
| Sep 30, 2022 | 16.08 Mn |
| Jun 30, 2022 | 15.35 Mn |
| Mar 31, 2022 | 13.65 Mn |
| Dec 31, 2021 | 13.09 Mn |
| Sep 30, 2021 | 12.59 Mn |
Seer Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=SEER&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=SEER&period=max&api_key=YOUR_API_KEY");
const data = await res.json();