SmartRent (SMRT) Operating Expenses (2020 - 2026)
SmartRent (SMRT) recorded Operating Expenses of $22.68 million in Q2 2026, down 6.9% from $24.35 million a year earlier but up 12.2% from the prior quarter.
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Analysis
SmartRent (SMRT) Operating Expenses (2020 - 2026) Analysis & Trends
On a TTM basis, SmartRent's Operating Expenses came in at $77.54 million as of Jun 30, 2026, down 24.4% year-over-year; for FY2025, it came in at $88.92 million, down 12.9% from FY2024.
- Annual Operating Expenses has a five-year compound annual growth rate of 23.1% (FY2020 to FY2025).
- Across earlier years, Operating Expenses came in at $102.11 million in FY2024 (+10.2%), $92.69 million in FY2023 (-12.2%), $105.6 million in FY2022 (+71.5%) and $61.58 million in FY2021 (+96.0%).
- Quarterly Operating Expenses has ranged from $16.6 million in Q3 2025 to $29.92 million in Q1 2025 over the past five years.
- On a year-over-year basis, Operating Expenses has declined for four consecutive quarters, with an average decline of 10.6% over the last eight quarters.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 185.5% in Q4 2021, against a decline of 34.1% in Q3 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $20.22 million (Q1 2026), $18.05 million (Q4 2025) and $16.6 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | 178,646.00 |
| 2 | Veeva Systems | 45.35 Bn | 17.59 Bn | 695.95 Mn | 420.93 Mn |
| 3 | Samsara | 22.20 Bn | 18.97 Bn | 392.58 Mn | 387.71 Mn |
| 4 | Toast | 17.53 Bn | 10.20 Bn | 516.00 Mn | 364.00 Mn |
| 5 | Ptc | 15.47 Bn | 14.28 Bn | 490.47 Mn | 323.96 Mn |
| 6 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | 542.90 Mn |
| 7 | Duolingo | 12.56 Bn | 7.73 Bn | 216.74 Mn | 182.80 Mn |
| 8 | Manhattan Associates | 11.77 Bn | 10.77 Bn | 168.33 Mn | 231.56 Mn |
| 9 | Costar | 10.95 Bn | 4.91 Bn | 728.00 Mn | 652.00 Mn |
| 10 | SmartRent | 229.93 Mn | -166.12 Mn | 16.22 Mn | 22.68 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 22.68 Mn |
| Mar 31, 2026 | 20.22 Mn |
| Dec 31, 2025 | 18.05 Mn |
| Sep 30, 2025 | 16.60 Mn |
| Jun 30, 2025 | 24.35 Mn |
| Mar 31, 2025 | 29.92 Mn |
| Dec 31, 2024 | 23.11 Mn |
| Sep 30, 2024 | 25.19 Mn |
| Jun 30, 2024 | 24.22 Mn |
| Mar 31, 2024 | 29.58 Mn |
| Dec 31, 2023 | 22.83 Mn |
| Sep 30, 2023 | 23.48 Mn |
| Jun 30, 2023 | 21.97 Mn |
| Mar 31, 2023 | 24.41 Mn |
| Dec 31, 2022 | 26.19 Mn |
| Sep 30, 2022 | 27.85 Mn |
| Jun 30, 2022 | 28.00 Mn |
| Mar 31, 2022 | 23.56 Mn |
| Dec 31, 2021 | 22.76 Mn |
| Sep 30, 2021 | 19.74 Mn |
API Access
SmartRent Operating Expenses 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=operating-expenses&ticker=SMRT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=SMRT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();