SmartRent (SMRT) Total Liabilities (2020 - 2026)
SmartRent's Total Liabilities was $68.56 million in Q2 2026, down 40.4% from $115.12 million a year earlier and down 1.4% from the prior quarter.
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Analysis
SmartRent (SMRT) Total Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025, Total Liabilities at SmartRent came in at $88.79 million, down 32.1% from FY2024.
- Total Liabilities has now declined for three consecutive years, with a five-year compound annual growth rate of -13.4% (FY2020 to FY2025).
- In earlier years, Total Liabilities was $130.74 million in FY2024 (-21.9%), $167.31 million in FY2023 (-14.9%), $196.65 million in FY2022 (+51.1%) and $130.18 million in FY2021 (-28.5%).
- The Q2 2026 figure marks the lowest quarterly Total Liabilities in data going back to Q4 2020.
- Compared with a year earlier, Total Liabilities has declined for 11 straight quarters, with an average decline of 28.2% over the last eight quarters.
- The best year-over-year quarter for Total Liabilities over five years was Q3 2022 (growth of 53.3%); the worst was Q2 2022 (a decline of 61.4%).
- Per Business Quant data, SMRT's Total Liabilities in the three quarters before Q2 2026 was $69.56 million (Q1 2026), $88.79 million (Q4 2025) and $101.39 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | 206,169.00 |
| 2 | Veeva Systems | 45.35 Bn | 17.59 Bn | 695.95 Mn | 1.63 Bn |
| 3 | Samsara | 22.20 Bn | 18.97 Bn | 392.58 Mn | 1.17 Bn |
| 4 | Toast | 17.53 Bn | 10.20 Bn | 516.00 Mn | 1.14 Bn |
| 5 | Ptc | 15.47 Bn | 14.28 Bn | 490.47 Mn | 3.04 Bn |
| 6 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | 3.43 Bn |
| 7 | Duolingo | 12.56 Bn | 7.73 Bn | 216.74 Mn | 664.21 Mn |
| 8 | Manhattan Associates | 11.77 Bn | 10.77 Bn | 168.33 Mn | 541.14 Mn |
| 9 | Costar | 10.95 Bn | 4.91 Bn | 728.00 Mn | 2.19 Bn |
| 10 | SmartRent | 229.93 Mn | -166.12 Mn | 16.22 Mn | 68.56 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 68.56 Mn |
| Mar 31, 2026 | 69.56 Mn |
| Dec 31, 2025 | 88.79 Mn |
| Sep 30, 2025 | 101.39 Mn |
| Jun 30, 2025 | 115.12 Mn |
| Mar 31, 2025 | 115.40 Mn |
| Dec 31, 2024 | 130.74 Mn |
| Sep 30, 2024 | 143.45 Mn |
| Jun 30, 2024 | 145.96 Mn |
| Mar 31, 2024 | 152.37 Mn |
| Dec 31, 2023 | 167.31 Mn |
| Sep 30, 2023 | 172.35 Mn |
| Jun 30, 2023 | 174.28 Mn |
| Mar 31, 2023 | 181.72 Mn |
| Dec 31, 2022 | 196.65 Mn |
| Sep 30, 2022 | 169.27 Mn |
| Jun 30, 2022 | 171.20 Mn |
| Mar 31, 2022 | 169.79 Mn |
| Dec 31, 2021 | 130.18 Mn |
| Sep 30, 2021 | 110.41 Mn |
API Access
SmartRent Total 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-liabilities&ticker=SMRT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-liabilities&ticker=SMRT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();