Powerfleet (AIOT) Price to Sales (2019 - 2026)
Powerfleet's (AIOT) Price to Sales was 1.14 for fiscal Q1 2027 (quarter ended Jun 30, 2026), down 27.3% from 1.57 a year earlier but up 22.6% from the prior quarter.
Powerfleet (AIOT) Price to Sales (2019 - 2026) Analysis & Trends
For FY2026 (ended Mar 31, 2026), Price to Sales at Powerfleet was 0.93, down 53.9% from FY2025.
- By fiscal year, Price to Sales came in at 2.02 in FY2025, 3.41 in FY2024 (+258.0%), 0.95 in FY2023 (+33.0%) and 0.72 in FY2022 (-47.0%).
- Five-year quarterly Price to Sales spans a low of 0.93 in fiscal Q4 2026 and a high of 2.36 in fiscal Q2 2025.
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at 0.93 (Q4 2026), 1.48 (Q3 2026) and 1.58 (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 | 1.14 |
| Mar 31, 2026 | 0.93 |
| Dec 31, 2025 | 1.64 |
| Sep 30, 2025 | 1.76 |
| Jun 30, 2025 | 1.58 |
| Dec 31, 2024 | 3.01 |
| Sep 30, 2024 | 2.44 |
| Jun 30, 2024 | 2.79 |
| Dec 31, 2023 | 0.95 |
| Sep 30, 2023 | 0.58 |
| Jun 30, 2023 | 0.82 |
| Mar 31, 2023 | 0.92 |
| Dec 31, 2022 | 0.72 |
| Sep 30, 2022 | 0.82 |
| Jun 30, 2022 | 0.60 |
| Mar 31, 2022 | 0.82 |
| Dec 31, 2021 | 1.35 |
| Sep 30, 2021 | 1.99 |
| Jun 30, 2021 | 2.17 |
| Mar 31, 2021 | 2.65 |
Powerfleet Price to Sales 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-sales&ticker=AIOT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-sales", "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-sales&ticker=AIOT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();