Glaukos (GKOS) Property, Plant & Equipment (Net) (2014 - 2026)
Glaukos (GKOS) reported Property, Plant & Equipment (Net) of $112.11 million for Q2 2026, up 0.3% from $111.82 million a year earlier but down 0.3% from the prior quarter.
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Analysis
Glaukos (GKOS) Property, Plant & Equipment (Net) (2014 - 2026) Analysis & Trends
At the end of FY2025, Glaukos posted Property, Plant & Equipment (Net) of $113.25 million, up 15.7% from FY2024.
- Property, Plant & Equipment (Net) has a five-year compound annual growth rate of 36.4% (FY2020 to FY2025).
- By year, Property, Plant & Equipment (Net) came in at $97.87 million in FY2024 (-5.2%), $103.21 million in FY2023 (+9.3%), $94.4 million in FY2022 (+36.9%) and $68.97 million in FY2021 (+187.3%).
- Five-year quarterly Property, Plant & Equipment (Net) spans a low of $60.8 million in Q3 2021 and a high of $113.25 million in Q4 2025.
- Year over year, Property, Plant & Equipment (Net) has now increased in each of the last five quarters, with growth averaging 5.2% over the last eight quarters.
- The high point for year-over-year Property, Plant & Equipment (Net) in five years was Q4 2021 (growth of 187.3%); the low point was Q4 2024 (a decline of 5.2%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $112.43 million (Q1 2026), $113.25 million (Q4 2025) and $110.94 million (Q3 2025).
Peer Set
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 | Glaukos | 9.63 Bn | 9.23 Bn | 151.59 Mn | 112.11 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 112.11 Mn |
| Mar 31, 2026 | 112.43 Mn |
| Dec 31, 2025 | 113.25 Mn |
| Sep 30, 2025 | 110.94 Mn |
| Jun 30, 2025 | 111.82 Mn |
| Mar 31, 2025 | 96.81 Mn |
| Dec 31, 2024 | 97.87 Mn |
| Sep 30, 2024 | 98.58 Mn |
| Jun 30, 2024 | 100.23 Mn |
| Mar 31, 2024 | 101.86 Mn |
| Dec 31, 2023 | 103.21 Mn |
| Sep 30, 2023 | 103.08 Mn |
| Jun 30, 2023 | 102.67 Mn |
| Mar 31, 2023 | 98.33 Mn |
| Dec 31, 2022 | 94.40 Mn |
| Sep 30, 2022 | 87.31 Mn |
| Jun 30, 2022 | 80.92 Mn |
| Mar 31, 2022 | 74.71 Mn |
| Dec 31, 2021 | 68.97 Mn |
| Sep 30, 2021 | 60.80 Mn |
API Access
Glaukos 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=GKOS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "ticker": "GKOS", "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=GKOS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();