Powerfleet (AIOT) Operating Expenses (2018 - 2026)
Powerfleet (AIOT) reported Operating Expenses of $60.89 million for fiscal Q1 2027 (quarter ended Jun 30, 2026), up 4.1% from $58.52 million a year earlier and up 13.5% from the prior quarter.
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Analysis
Powerfleet (AIOT) Operating Expenses (2018 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Powerfleet's Operating Expenses came in at $229.22 million, down 3.0% year-over-year; for FY2026 (ended Mar 31, 2026), it was $226.85 million, up 2.9% from FY2025.
- Operating Expenses has a five-year compound annual growth rate of 27.3% (FY2021 to FY2026).
- By fiscal year, Operating Expenses came in at $220.42 million in FY2025, $158.68 million in FY2024 (+99.3%), $79.63 million in FY2023 (+10.7%) and $71.96 million in FY2022 (+5.9%).
- The fiscal Q1 2027 figure ranks as the highest quarterly Operating Expenses since fiscal Q3 2025.
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at $53.64 million (Q4 2026), $56.34 million (Q3 2026) and $58.35 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | 178,646.00 |
| 2 | Veeva Systems | 45.09 Bn | 17.34 Bn | 695.95 Mn | 420.93 Mn |
| 3 | Samsara | 22.22 Bn | 18.99 Bn | 392.58 Mn | 387.71 Mn |
| 4 | Toast | 17.58 Bn | 10.25 Bn | 516.00 Mn | 364.00 Mn |
| 5 | Ptc | 15.23 Bn | 14.05 Bn | 490.47 Mn | 323.96 Mn |
| 6 | Trimble | 13.37 Bn | 12.44 Bn | 674.90 Mn | 542.90 Mn |
| 7 | Duolingo | 13.34 Bn | 8.51 Bn | 216.74 Mn | 182.80 Mn |
| 8 | Manhattan Associates | 11.67 Bn | 10.66 Bn | 168.33 Mn | 231.56 Mn |
| 9 | Costar | 10.92 Bn | 4.88 Bn | 728.00 Mn | 652.00 Mn |
| 10 | Powerfleet | 369.12 Mn | 246.88 Mn | 61.16 Mn | 60.89 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 60.89 Mn |
| Mar 31, 2026 | 53.64 Mn |
| Dec 31, 2025 | 56.34 Mn |
| Sep 30, 2025 | 58.35 Mn |
| Jun 30, 2025 | 58.52 Mn |
| Dec 31, 2024 | 60.03 Mn |
| Sep 30, 2024 | 40.77 Mn |
| Jun 30, 2024 | 57.88 Mn |
| Dec 31, 2023 | 21.35 Mn |
| Sep 30, 2023 | 20.20 Mn |
| Jun 30, 2023 | 19.42 Mn |
| Mar 31, 2023 | 18.66 Mn |
| Dec 31, 2022 | 17.64 Mn |
| Sep 30, 2022 | 18.41 Mn |
| Jun 30, 2022 | 17.60 Mn |
| Mar 31, 2022 | 18.31 Mn |
| Dec 31, 2021 | 18.68 Mn |
| Sep 30, 2021 | 16.69 Mn |
| Jun 30, 2021 | 16.20 Mn |
| Mar 31, 2021 | 16.35 Mn |
API Access
Powerfleet Operating 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=operating-expenses&ticker=AIOT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=AIOT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();