Powerfleet (AIOT) Change in Accured Expenses (2018 - 2026)
Powerfleet (AIOT) posted Change in Accured Expenses of $722,000 for fiscal Q1 2027 (quarter ended Jun 30, 2026), down 92.5% from $9.64 million a year earlier.
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Analysis
Powerfleet (AIOT) Change in Accured Expenses (2018 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Change in Accured Expenses at Powerfleet was -$3.69 million; for FY2026 (ended Mar 31, 2026), it was $5.23 million.
- Annual Change in Accured Expenses shows a five-year compound annual growth rate of -8.5% (FY2021 to FY2026).
- In prior fiscal years, Powerfleet's Change in Accured Expenses was -$12.16 million in FY2025, -$15.66 million in FY2024, $4.77 million in FY2023 and -$533,000 in FY2022.
- Quarterly Change in Accured Expenses has run from a low of -$7.11 million in fiscal Q2 2026 to a high of $9.64 million in fiscal Q1 2026 over five years.
- According to Business Quant data, Change in Accured Expenses for the three prior fiscal quarters was -$5.79 million (Q4 2026), $8.49 million (Q3 2026) and -$7.11 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | 50,912.00 |
| 2 | Veeva Systems | 44.24 Bn | 16.49 Bn | 695.95 Mn | -10.50 Mn |
| 3 | Samsara | 24.06 Bn | 20.83 Bn | 392.58 Mn | 34.27 Mn |
| 4 | Toast | 17.18 Bn | 9.85 Bn | 516.00 Mn | 57.00 Mn |
| 5 | Ptc | 15.95 Bn | 14.76 Bn | 490.47 Mn | 133.18 Mn |
| 6 | Duolingo | 13.49 Bn | 8.67 Bn | 216.74 Mn | 1.20 Mn |
| 7 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | 42.10 Mn |
| 8 | Manhattan Associates | 11.90 Bn | 10.90 Bn | 168.33 Mn | 20.69 Mn |
| 9 | Costar | 11.09 Bn | 5.06 Bn | 728.00 Mn | 33.00 Mn |
| 10 | Powerfleet | 377.18 Mn | 254.93 Mn | 61.16 Mn | 722,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 722,000.00 |
| Mar 31, 2026 | -5.79 Mn |
| Dec 31, 2025 | 8.49 Mn |
| Sep 30, 2025 | -7.11 Mn |
| Jun 30, 2025 | 9.64 Mn |
| Jun 30, 2024 | 4.99 Mn |
| Dec 31, 2023 | 3.27 Mn |
| Sep 30, 2023 | 2.96 Mn |
| Jun 30, 2023 | -1.47 Mn |
| Mar 31, 2023 | -325,000.00 |
| Dec 31, 2022 | -2.26 Mn |
| Sep 30, 2022 | -127,000.00 |
| Jun 30, 2022 | 1.05 Mn |
| Mar 31, 2022 | 809,000.00 |
| Dec 31, 2021 | 4.01 Mn |
| Sep 30, 2021 | 1.49 Mn |
| Jun 30, 2021 | 2.47 Mn |
| Mar 31, 2021 | 164,000.00 |
| Dec 31, 2020 | 1.52 Mn |
| Sep 30, 2020 | -1.22 Mn |
API Access
Powerfleet Change in Accured 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=change-in-accured-expenses&ticker=AIOT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "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=change-in-accured-expenses&ticker=AIOT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();