SmartRent (SMRT) Non-Current Assets (2020 - 2026)
SmartRent's Non-Current Assets came in at $131.3 million for Q2 2026, down 3.8% from $136.43 million a year earlier and down 0.3% from the prior quarter.
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Analysis
SmartRent (SMRT) Non-Current Assets (2020 - 2026) Analysis & Trends
At the end of FY2025, SmartRent's Non-Current Assets was $133.05 million, down 18.1% from FY2024.
- Non-Current Assets has declined in each of the last three years, though with a five-year compound annual growth rate of 52.4% (FY2020 to FY2025).
- Going back by year, Non-Current Assets was $162.53 million in FY2024 (-4.1%), $169.42 million in FY2023 (-7.2%), $182.49 million in FY2022 (+317.8%) and $43.68 million in FY2021 (+169.7%).
- The Q2 2026 figure represents the lowest quarterly Non-Current Assets since Q4 2021.
- Year-over-year, Non-Current Assets has declined for 14 consecutive quarters, with an average decline of 10.7% over the last eight quarters.
- The fastest year-over-year change in Non-Current Assets over five years came in Q3 2022 (growth of 636.3%), and the weakest in Q1 2022 (a decline of 47.3%).
- Business Quant data shows SMRT's Non-Current Assets at $131.66 million (Q1 2026), $133.05 million (Q4 2025) and $134.33 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 45.35 Bn | 17.59 Bn | 695.95 Mn | 1.11 Bn |
| 3 | Samsara | 22.20 Bn | 18.97 Bn | 392.58 Mn | 1.20 Bn |
| 4 | Toast | 17.53 Bn | 10.20 Bn | 516.00 Mn | 531.00 Mn |
| 5 | Ptc | 15.47 Bn | 14.28 Bn | 490.47 Mn | 5.14 Bn |
| 6 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | 7.20 Bn |
| 7 | Duolingo | 12.56 Bn | 7.73 Bn | 216.74 Mn | 502.84 Mn |
| 8 | Manhattan Associates | 11.77 Bn | 10.77 Bn | 168.33 Mn | 231.59 Mn |
| 9 | Costar | 10.95 Bn | 4.91 Bn | 728.00 Mn | 8.49 Bn |
| 10 | SmartRent | 229.93 Mn | -166.12 Mn | 16.22 Mn | 131.30 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 131.30 Mn |
| Mar 31, 2026 | 131.66 Mn |
| Dec 31, 2025 | 133.05 Mn |
| Sep 30, 2025 | 134.33 Mn |
| Jun 30, 2025 | 136.43 Mn |
| Mar 31, 2025 | 138.20 Mn |
| Dec 31, 2024 | 162.53 Mn |
| Sep 30, 2024 | 163.61 Mn |
| Jun 30, 2024 | 161.51 Mn |
| Mar 31, 2024 | 165.98 Mn |
| Dec 31, 2023 | 169.42 Mn |
| Sep 30, 2023 | 171.48 Mn |
| Jun 30, 2023 | 175.28 Mn |
| Mar 31, 2023 | 178.85 Mn |
| Dec 31, 2022 | 182.49 Mn |
| Sep 30, 2022 | 187.60 Mn |
| Jun 30, 2022 | 186.38 Mn |
| Mar 31, 2022 | 181.97 Mn |
| Dec 31, 2021 | 43.68 Mn |
| Sep 30, 2021 | 25.48 Mn |
API Access
SmartRent 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=SMRT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "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=non-current-assets&ticker=SMRT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();