Powerfleet (AIOT) EPS (Diluted) (2021 - 2026)
Powerfleet (AIOT) recorded EPS (Diluted) of -$0.06 in fiscal Q1 2027 (quarter ended Jun 30, 2026), compared with -$0.08 a year earlier.
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Analysis
Powerfleet (AIOT) EPS (Diluted) (2021 - 2026) Analysis & Trends
On a TTM basis, Powerfleet's EPS (Diluted) came in at -$0.14 as of Jun 30, 2026; for FY2026 (ended Mar 31, 2026), it came in at -$0.15.
- Across earlier fiscal years, EPS (Diluted) came in at -$0.43 in FY2025, -$0.29 in FY2024, -$0.54 in FY2023 and -$0.49 in FY2022.
- Quarterly EPS (Diluted) has ranged from -$0.23 in fiscal Q3 2025 to -$0.02 in fiscal Q4 2026 over the past five years.
- Per Business Quant, the preceding three fiscal quarters came in at -$0.02 (Q4 2026), -$0.03 (Q3 2026) and -$0.03 (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Diluted) (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 51.87 Bn | 24.12 Bn | 695.95 Mn | 1.66 |
| 3 | Samsara | 24.33 Bn | 21.10 Bn | 392.58 Mn | 0.03 |
| 4 | Ptc | 22.16 Bn | 20.97 Bn | 490.47 Mn | 1.03 |
| 5 | Toast | 18.78 Bn | 11.45 Bn | 516.00 Mn | 0.26 |
| 6 | Trimble | 14.24 Bn | 13.31 Bn | 674.90 Mn | -2.02 |
| 7 | Manhattan Associates | 13.47 Bn | 12.47 Bn | 168.33 Mn | 0.85 |
| 8 | Costar | 13.23 Bn | 7.18 Bn | 728.00 Mn | 0.14 |
| 9 | Bentley Systems | 11.77 Bn | 11.23 Bn | 336.74 Mn | 0.25 |
| 10 | Powerfleet | 347.50 Mn | 219.06 Mn | 61.16 Mn | -0.06 |
Historic Data
Download Data
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 |
API Access
Powerfleet EPS (Diluted) 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-diluted&ticker=AIOT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-diluted", "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-diluted&ticker=AIOT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();