Powerfleet (AIOT) Price to Book (2018 - 2026)
Powerfleet's Price to Book was 1.07 in fiscal Q1 2027 (quarter ended Jun 30, 2026), down 14.7% from 1.25 a year earlier but up 22.6% from the prior quarter.
Powerfleet (AIOT) Price to Book (2018 - 2026) Analysis & Trends
For FY2026 (ended Mar 31, 2026), Price to Book at Powerfleet came in at 0.87, down 47.0% from FY2025.
- In earlier fiscal years, Price to Book was 1.64 in FY2025, 1.92 in FY2024 (-12.9%), 2.21 in FY2023 (+56.6%) and 1.41 in FY2022 (-30.9%).
- Quarterly Price to Book has moved between 0.87 (fiscal Q4 2026) and 5.14 (fiscal Q4 2024) over five years.
- Per Business Quant data, AIOT's Price to Book in the three fiscal quarters before Q1 2027 was 0.87 (Q4 2026), 1.47 (Q3 2026) and 1.50 (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - |
| 2 | Veeva Systems | 44.24 Bn | 16.49 Bn | 695.95 Mn |
| 3 | Samsara | 24.06 Bn | 20.83 Bn | 392.58 Mn |
| 4 | Toast | 17.18 Bn | 9.85 Bn | 516.00 Mn |
| 5 | Ptc | 15.95 Bn | 14.76 Bn | 490.47 Mn |
| 6 | Duolingo | 13.49 Bn | 8.67 Bn | 216.74 Mn |
| 7 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn |
| 8 | Manhattan Associates | 11.90 Bn | 10.90 Bn | 168.33 Mn |
| 9 | Costar | 11.09 Bn | 5.06 Bn | 728.00 Mn |
| 10 | Powerfleet | 377.18 Mn | 254.93 Mn | 61.16 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.07 |
| Mar 31, 2026 | 0.87 |
| Dec 31, 2025 | 1.47 |
| Sep 30, 2025 | 1.50 |
| Jun 30, 2025 | 1.25 |
| Mar 31, 2025 | 1.64 |
| Dec 31, 2024 | 1.92 |
| Sep 30, 2024 | 1.20 |
| Jun 30, 2024 | 1.26 |
| Mar 31, 2024 | 5.14 |
| Dec 31, 2023 | 2.21 |
| Sep 30, 2023 | 1.25 |
| Jun 30, 2023 | 1.60 |
| Mar 31, 2023 | 1.69 |
| Dec 31, 2022 | 1.41 |
| Sep 30, 2022 | 1.55 |
| Jun 30, 2022 | 1.05 |
| Mar 31, 2022 | 1.37 |
| Dec 31, 2021 | 2.04 |
| Sep 30, 2021 | 2.44 |
Powerfleet Price to Book 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=price-to-book&ticker=AIOT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "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=price-to-book&ticker=AIOT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();