Powerfleet (AIOT) EPS (Basic) (2018 - 2026)
Powerfleet's EPS (Basic) came in at -$0.06 for fiscal Q1 2027 (quarter ended Jun 30, 2026), compared with -$0.08 a year earlier.
Powerfleet (AIOT) EPS (Basic) (2018 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Powerfleet reported EPS (Basic) of -$0.14; for FY2026 (ended Mar 31, 2026), it came in at -$0.15.
- Going back by fiscal year, EPS (Basic) was -$0.43 in FY2025, -$0.29 in FY2024, -$0.54 in FY2023 and -$0.49 in FY2022.
- The five-year range for quarterly EPS (Basic) is -$0.23 (fiscal Q3 2025) to -$0.02 (fiscal Q4 2026).
- Business Quant data shows AIOT's EPS (Basic) at -$0.02 (Q4 2026), -$0.03 (Q3 2026) and -$0.03 (Q2 2026) in the three fiscal quarters before Q1 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Basic) (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | 0.00 |
| 2 | Veeva Systems | 45.35 Bn | 17.59 Bn | 695.95 Mn | 1.68 |
| 3 | Samsara | 22.20 Bn | 18.97 Bn | 392.58 Mn | 0.03 |
| 4 | Toast | 17.53 Bn | 10.20 Bn | 516.00 Mn | 0.27 |
| 5 | Ptc | 15.47 Bn | 14.28 Bn | 490.47 Mn | 1.04 |
| 6 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | -2.02 |
| 7 | Duolingo | 12.56 Bn | 7.73 Bn | 216.74 Mn | 0.71 |
| 8 | Manhattan Associates | 11.77 Bn | 10.77 Bn | 168.33 Mn | 0.86 |
| 9 | Costar | 10.95 Bn | 4.91 Bn | 728.00 Mn | 0.14 |
| 10 | Powerfleet | 351.67 Mn | 229.43 Mn | 61.16 Mn | -0.06 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -0.06 |
| Mar 31, 2026 | -0.02 |
| Dec 31, 2025 | -0.03 |
| Sep 30, 2025 | -0.03 |
| Jun 30, 2025 | -0.08 |
| Dec 31, 2024 | -0.11 |
| Sep 30, 2024 | -0.02 |
| Jun 30, 2024 | -0.21 |
| Dec 31, 2023 | -0.18 |
| Sep 30, 2023 | -0.18 |
| Jun 30, 2023 | -0.17 |
| Mar 31, 2023 | 0.05 |
| Dec 31, 2022 | -0.12 |
| Sep 30, 2022 | -0.12 |
| Jun 30, 2022 | -0.08 |
| Mar 31, 2022 | -0.17 |
| Dec 31, 2021 | -0.34 |
| Sep 30, 2021 | -0.13 |
| Jun 30, 2021 | -0.08 |
| Mar 31, 2021 | -0.09 |
Powerfleet EPS (Basic) 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=eps-basic&ticker=AIOT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-basic", "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=eps-basic&ticker=AIOT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();