Powerfleet (AIOT) EV to EBITDA (2020 - 2026)
Powerfleet's (AIOT) EV to EBITDA came in at 5.92 for fiscal Q1 2027 (quarter ended Jun 30, 2026), down 93.2% from 87.63 a year earlier but up 23.5% from the prior quarter.
Powerfleet (AIOT) EV to EBITDA (2020 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EV to EBITDA at Powerfleet was 4.76, down 93.3% year-over-year; for FY2026 (ended Mar 31, 2026), it came in at 4.79, down 84.9% from FY2025.
- In prior fiscal years, Powerfleet's EV to EBITDA was 31.82 in FY2025, 60.05 in FY2024 and 61.73 in FY2022 (-83.6%).
- Quarterly EV to EBITDA has run from a low of 4.79 in fiscal Q4 2026 to a high of 87.63 in fiscal Q1 2026 over five years.
- According to Business Quant data, EV to EBITDA for the three prior fiscal quarters was 4.79 (Q4 2026), 11.76 (Q3 2026) and 24.17 (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - |
| 2 | Veeva Systems | 45.09 Bn | 17.34 Bn | 695.95 Mn |
| 3 | Samsara | 22.22 Bn | 18.99 Bn | 392.58 Mn |
| 4 | Toast | 17.58 Bn | 10.25 Bn | 516.00 Mn |
| 5 | Ptc | 15.23 Bn | 14.05 Bn | 490.47 Mn |
| 6 | Trimble | 13.37 Bn | 12.44 Bn | 674.90 Mn |
| 7 | Duolingo | 13.34 Bn | 8.51 Bn | 216.74 Mn |
| 8 | Manhattan Associates | 11.67 Bn | 10.66 Bn | 168.33 Mn |
| 9 | Costar | 10.92 Bn | 4.88 Bn | 728.00 Mn |
| 10 | Powerfleet | 369.12 Mn | 246.88 Mn | 61.16 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.92 |
| Mar 31, 2026 | 4.79 |
| Dec 31, 2025 | 14.11 |
| Sep 30, 2025 | 27.48 |
| Jun 30, 2025 | 140.96 |
| Jun 30, 2023 | 60.42 |
| Mar 31, 2023 | 31.81 |
| Dec 31, 2022 | 61.73 |
| Dec 31, 2021 | 377.20 |
| Sep 30, 2021 | 50.78 |
| Jun 30, 2021 | 30.36 |
| Mar 31, 2021 | 38.80 |
| Dec 31, 2020 | 42.83 |
| Sep 30, 2020 | 78.02 |
Powerfleet EV to EBITDA 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=ev-to-ebitda&ticker=AIOT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebitda", "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=ev-to-ebitda&ticker=AIOT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();