Powerfleet (AIOT) Total Non-Current Liabilities (2018 - 2026)
Powerfleet (AIOT) posted Total Non-Current Liabilities of $477.53 million for fiscal Q1 2027 (quarter ended Jun 30, 2026), up 2.3% from $466.83 million a year earlier and up 0.1% from the prior quarter.
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Analysis
Powerfleet (AIOT) Total Non-Current Liabilities (2018 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), Powerfleet's Total Non-Current Liabilities came in at $476.87 million, up 3.6% from FY2025.
- Annual Total Non-Current Liabilities shows a five-year compound annual growth rate of 26.7% (FY2021 to FY2026).
- In prior fiscal years, Powerfleet's Total Non-Current Liabilities was $460.31 million in FY2025, $447.09 million in FY2024 (+183.5%), $157.68 million in FY2023 (+7.1%) and $147.29 million in FY2022 (+1.0%).
- The fiscal Q1 2027 figure stands as the highest quarterly Total Non-Current Liabilities in data going back to fiscal Q4 2024.
- According to Business Quant data, Total Non-Current Liabilities for the three prior fiscal quarters was $476.87 million (Q4 2026), $471.25 million (Q3 2026) and $465.78 million (Q2 2026).
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 | 46.20 Bn | 18.45 Bn | 695.95 Mn | 1.60 Bn |
| 3 | Samsara | 22.32 Bn | 19.09 Bn | 392.58 Mn | 1.15 Bn |
| 4 | Toast | 16.73 Bn | 9.40 Bn | 516.00 Mn | 1.10 Bn |
| 5 | Ptc | 15.53 Bn | 14.35 Bn | 490.47 Mn | 2.94 Bn |
| 6 | Duolingo | 13.32 Bn | 8.49 Bn | 216.74 Mn | - |
| 7 | Trimble | 13.32 Bn | 12.38 Bn | 674.90 Mn | 3.15 Bn |
| 8 | Manhattan Associates | 11.58 Bn | 10.58 Bn | 168.33 Mn | 528.94 Mn |
| 9 | Costar | 11.10 Bn | 5.07 Bn | 728.00 Mn | 2.16 Bn |
| 10 | Powerfleet | 381.20 Mn | 258.96 Mn | 61.16 Mn | 477.53 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 477.53 Mn |
| Mar 31, 2026 | 476.87 Mn |
| Dec 31, 2025 | 471.25 Mn |
| Sep 30, 2025 | 465.78 Mn |
| Jun 30, 2025 | 466.83 Mn |
| Mar 31, 2025 | 460.31 Mn |
| Dec 31, 2024 | 447.09 Mn |
| Sep 30, 2024 | 294.32 Mn |
| Jun 30, 2024 | 291.35 Mn |
| Mar 31, 2024 | 267.55 Mn |
| Dec 31, 2023 | 157.68 Mn |
| Sep 30, 2023 | 152.78 Mn |
| Jun 30, 2023 | 147.45 Mn |
| Mar 31, 2023 | 148.40 Mn |
| Dec 31, 2022 | 147.29 Mn |
| Sep 30, 2022 | 146.63 Mn |
| Jun 30, 2022 | 145.59 Mn |
| Mar 31, 2022 | 146.23 Mn |
| Dec 31, 2021 | 145.81 Mn |
| Sep 30, 2021 | 128.78 Mn |
API Access
Powerfleet 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=AIOT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "AIOT", "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=AIOT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();