SmartRent (SMRT) Total Current Liabilities (2020 - 2026)
SmartRent's Total Current Liabilities came in at $42.68 million for Q2 2026, down 46.7% from $80.06 million a year earlier and down 0.1% from the prior quarter.
SmartRent (SMRT) Total Current Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025, SmartRent's Total Current Liabilities was $60.02 million, down 15.5% from FY2024.
- Total Current Liabilities has declined in each of the last three years, though with a five-year compound annual growth rate of 12.8% (FY2020 to FY2025).
- Going back by year, Total Current Liabilities was $71.03 million in FY2024 (-39.4%), $117.31 million in FY2023 (-11.6%), $132.78 million in FY2022 (+88.2%) and $70.57 million in FY2021 (+115.0%).
- The Q2 2026 figure represents the lowest quarterly Total Current Liabilities since Q2 2021.
- Year-over-year, Total Current Liabilities has declined for 11 consecutive quarters, with an average decline of 30.1% over the last eight quarters.
- The fastest year-over-year change in Total Current Liabilities over five years came in Q4 2021 (growth of 115.0%), and the weakest in Q2 2026 (a decline of 46.7%).
- Business Quant data shows SMRT's Total Current Liabilities at $42.72 million (Q1 2026), $60.02 million (Q4 2025) and $72.62 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | 206,170.00 |
| 2 | Veeva Systems | 45.35 Bn | 17.59 Bn | 695.95 Mn | 1.46 Bn |
| 3 | Samsara | 22.20 Bn | 18.97 Bn | 392.58 Mn | 968.09 Mn |
| 4 | Toast | 17.53 Bn | 10.20 Bn | 516.00 Mn | 1.10 Bn |
| 5 | Ptc | 15.47 Bn | 14.28 Bn | 490.47 Mn | 1.34 Bn |
| 6 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | 1.41 Bn |
| 7 | Duolingo | 12.56 Bn | 7.73 Bn | 216.74 Mn | 577.83 Mn |
| 8 | Manhattan Associates | 11.77 Bn | 10.77 Bn | 168.33 Mn | 475.05 Mn |
| 9 | Costar | 10.95 Bn | 4.91 Bn | 728.00 Mn | 747.00 Mn |
| 10 | SmartRent | 229.93 Mn | -166.12 Mn | 16.22 Mn | 42.68 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 42.68 Mn |
| Mar 31, 2026 | 42.72 Mn |
| Dec 31, 2025 | 60.02 Mn |
| Sep 30, 2025 | 72.62 Mn |
| Jun 30, 2025 | 80.06 Mn |
| Mar 31, 2025 | 75.87 Mn |
| Dec 31, 2024 | 71.03 Mn |
| Sep 30, 2024 | 85.97 Mn |
| Jun 30, 2024 | 100.33 Mn |
| Mar 31, 2024 | 106.99 Mn |
| Dec 31, 2023 | 117.31 Mn |
| Sep 30, 2023 | 123.61 Mn |
| Jun 30, 2023 | 120.57 Mn |
| Mar 31, 2023 | 123.38 Mn |
| Dec 31, 2022 | 132.78 Mn |
| Sep 30, 2022 | 97.84 Mn |
| Jun 30, 2022 | 102.93 Mn |
| Mar 31, 2022 | 105.02 Mn |
| Dec 31, 2021 | 70.57 Mn |
| Sep 30, 2021 | 61.57 Mn |
SmartRent Total Current Liabilities 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=total-current-liabilities&ticker=SMRT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-liabilities", "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=total-current-liabilities&ticker=SMRT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();