Samsara (IOT) Total Non-Current Liabilities (2022 - 2026)
Samsara's Total Non-Current Liabilities came in at $1.15 billion for fiscal Q2 2027 (quarter ended Aug 1, 2026), up 16.6% from $985.15 million a year earlier and up 5.1% from the prior quarter.
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Analysis
Samsara (IOT) Total Non-Current Liabilities (2022 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Samsara's Total Non-Current Liabilities was $1.11 billion, up 16.7% from FY2025.
- Total Non-Current Liabilities has increased in each of the last four fiscal years, with a four-year compound annual growth rate of 17.9% (FY2022 to FY2026).
- Going back by fiscal year, Total Non-Current Liabilities was $948.48 million in FY2025 (+17.1%), $809.76 million in FY2024 (+21.0%), $669.48 million in FY2023 (+17.0%) and $572.29 million in FY2022.
- The fiscal Q2 2027 figure represents the highest quarterly Total Non-Current Liabilities in data going back to fiscal Q4 2022.
- Year-over-year, Total Non-Current Liabilities has increased for 15 consecutive quarters, with growth averaging 16.6% over the last eight quarters.
- Across the past five years, year-over-year growth in Total Non-Current Liabilities ran from 15.0% in fiscal Q1 2026 to 22.4% in fiscal Q2 2024.
- Business Quant data shows IOT's Total Non-Current Liabilities at $1.09 billion (Q1 2027), $1.11 billion (Q4 2026) and $1 billion (Q3 2026) in the three fiscal quarters before Q2 2027.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 45.35 Bn | 17.59 Bn | 695.95 Mn | 1.60 Bn |
| 3 | Samsara | 22.20 Bn | 18.97 Bn | 392.58 Mn | 1.15 Bn |
| 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 | 2.94 Bn |
| 6 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | 3.15 Bn |
| 7 | Duolingo | 12.56 Bn | 7.73 Bn | 216.74 Mn | - |
| 8 | Manhattan Associates | 11.77 Bn | 10.77 Bn | 168.33 Mn | 528.94 Mn |
| 9 | Costar | 10.95 Bn | 4.91 Bn | 728.00 Mn | 2.16 Bn |
| 10 | Bentley Systems | 9.44 Bn | 8.90 Bn | 336.74 Mn | 2.27 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 1.15 Bn |
| May 2, 2026 | 1.09 Bn |
| Jan 31, 2026 | 1.11 Bn |
| Nov 1, 2025 | 1.00 Bn |
| Aug 2, 2025 | 985.15 Mn |
| May 3, 2025 | 938.67 Mn |
| Feb 1, 2025 | 948.48 Mn |
| Nov 2, 2024 | 856.24 Mn |
| Aug 3, 2024 | 852.28 Mn |
| May 4, 2024 | 815.90 Mn |
| Feb 3, 2024 | 809.76 Mn |
| Oct 28, 2023 | 726.15 Mn |
| Jul 29, 2023 | 696.98 Mn |
| Apr 29, 2023 | 666.88 Mn |
| Jan 28, 2023 | 669.48 Mn |
| Oct 29, 2022 | 602.85 Mn |
| Jul 30, 2022 | 569.38 Mn |
| Apr 30, 2022 | 578.94 Mn |
| Jan 29, 2022 | 572.29 Mn |
API Access
Samsara Total Non-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-non-current-liabilities&ticker=IOT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "IOT", "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-non-current-liabilities&ticker=IOT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();