SmartRent (SMRT) Property, Plant & Equipment (Net) (2020 - 2026)
SmartRent's Property, Plant & Equipment (Net) came in at $4.69 million for Q2 2026, down 16.1% from $5.58 million a year earlier and down 3.6% from the prior quarter.
SmartRent (SMRT) Property, Plant & Equipment (Net) (2020 - 2026) Analysis & Trends
At the end of FY2025, SmartRent's Property, Plant & Equipment (Net) was $5.12 million, up 108.9% from FY2024.
- Property, Plant & Equipment (Net) carries a five-year compound annual growth rate of 43.3% (FY2020 to FY2025).
- Going back by year, Property, Plant & Equipment (Net) was $2.45 million in FY2024 (+75.1%), $1.4 million in FY2023 (-32.3%), $2.07 million in FY2022 (+10.4%) and $1.87 million in FY2021 (+121.3%).
- The Q2 2026 figure represents the lowest quarterly Property, Plant & Equipment (Net) since Q4 2024.
- Year-over-year, Property, Plant & Equipment (Net) increased in five of the last eight quarters, with growth averaging 133.5%.
- The fastest year-over-year change in Property, Plant & Equipment (Net) over five years came in Q2 2025 (growth of 323.3%), and the weakest in Q4 2023 (a decline of 32.3%).
- Business Quant data shows SMRT's Property, Plant & Equipment (Net) at $4.86 million (Q1 2026), $5.12 million (Q4 2025) and $5.38 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 44.24 Bn | 16.49 Bn | 695.95 Mn | 79.48 Mn |
| 3 | Samsara | 24.06 Bn | 20.83 Bn | 392.58 Mn | 88.03 Mn |
| 4 | Toast | 17.18 Bn | 9.85 Bn | 516.00 Mn | 149.00 Mn |
| 5 | Ptc | 15.95 Bn | 14.76 Bn | 490.47 Mn | 62.84 Mn |
| 6 | Duolingo | 13.49 Bn | 8.67 Bn | 216.74 Mn | 42.62 Mn |
| 7 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | 183.20 Mn |
| 8 | Manhattan Associates | 11.90 Bn | 10.90 Bn | 168.33 Mn | 24.61 Mn |
| 9 | Costar | 11.09 Bn | 5.06 Bn | 728.00 Mn | 1.44 Bn |
| 10 | SmartRent | 231.85 Mn | -164.21 Mn | 16.22 Mn | 4.69 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.69 Mn |
| Mar 31, 2026 | 4.86 Mn |
| Dec 31, 2025 | 5.12 Mn |
| Sep 30, 2025 | 5.38 Mn |
| Jun 30, 2025 | 5.58 Mn |
| Mar 31, 2025 | 5.31 Mn |
| Dec 31, 2024 | 2.45 Mn |
| Sep 30, 2024 | 1.36 Mn |
| Jun 30, 2024 | 1.32 Mn |
| Mar 31, 2024 | 1.31 Mn |
| Dec 31, 2023 | 1.40 Mn |
| Sep 30, 2023 | 1.59 Mn |
| Jun 30, 2023 | 1.73 Mn |
| Mar 31, 2023 | 1.91 Mn |
| Dec 31, 2022 | 2.07 Mn |
| Sep 30, 2022 | 1.98 Mn |
| Jun 30, 2022 | 1.90 Mn |
| Mar 31, 2022 | 1.91 Mn |
| Dec 31, 2021 | 1.87 Mn |
| Sep 30, 2021 | 1.69 Mn |
SmartRent 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=SMRT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "ticker": "SMRT", "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=SMRT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();