Powerfleet (AIOT) Accumulated Expenses (2024 - 2026)
Powerfleet's Accumulated Expenses was $39.97 million in fiscal Q1 2027 (quarter ended Jun 30, 2026), down 18.0% from $48.76 million a year earlier but up 6.0% from the prior quarter.
Powerfleet (AIOT) Accumulated Expenses (2024 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), Accumulated Expenses at Powerfleet came in at $37.7 million, down 16.8% from FY2025.
- In earlier fiscal years, Accumulated Expenses was $45.33 million in FY2025 (+224.2%) and $13.98 million in FY2024.
- Quarterly Accumulated Expenses has moved between $13.98 million (fiscal Q4 2024) and $48.76 million (fiscal Q1 2026) over five years.
- Per Business Quant data, AIOT's Accumulated Expenses in the three fiscal quarters before Q1 2027 was $37.7 million (Q4 2026), $44.91 million (Q3 2026) and $41.42 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - |
| 2 | Veeva Systems | 45.65 Bn | 17.89 Bn | 695.95 Mn |
| 3 | Samsara | 23.42 Bn | 20.19 Bn | 392.58 Mn |
| 4 | Toast | 16.88 Bn | 9.55 Bn | 516.00 Mn |
| 5 | Ptc | 16.22 Bn | 15.03 Bn | 490.47 Mn |
| 6 | Duolingo | 13.71 Bn | 8.88 Bn | 216.74 Mn |
| 7 | Trimble | 13.42 Bn | 12.48 Bn | 674.90 Mn |
| 8 | Manhattan Associates | 11.90 Bn | 10.90 Bn | 168.33 Mn |
| 9 | Costar | 11.23 Bn | 5.20 Bn | 728.00 Mn |
| 10 | Powerfleet | 375.83 Mn | 253.59 Mn | 61.16 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 39.97 Mn |
| Mar 31, 2026 | 37.70 Mn |
| Dec 31, 2025 | 44.91 Mn |
| Sep 30, 2025 | 41.42 Mn |
| Jun 30, 2025 | 48.76 Mn |
| Mar 31, 2025 | 45.33 Mn |
| Mar 31, 2024 | 13.98 Mn |
Powerfleet Accumulated 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=accumulated-expenses&ticker=AIOT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=AIOT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();