Powerfleet (AIOT) Finished Goods (2018 - 2023)
Powerfleet (AIOT) posted Finished Goods of $12.3 million for fiscal Q4 2023 (quarter ended Dec 31, 2023), up 31.3% from $9.37 million a year earlier and up 23.9% from the prior quarter.
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Analysis
Powerfleet (AIOT) Finished Goods (2018 - 2023) Analysis & Trends
Since fiscal Q4 2018, Powerfleet has reported Finished Goods for 19 quarters.
- Annual Finished Goods has increased for three consecutive fiscal years, with a five-year compound annual growth rate of 38.3% (FY2018 to FY2023).
- In prior fiscal years, Powerfleet's Finished Goods was $9.37 million in FY2022 (+46.2%), $6.41 million in FY2021 (+29.7%), $4.94 million in FY2020 (-38.2%) and $7.99 million in FY2019 (+228.6%).
- The fiscal Q4 2023 figure stands as the highest quarterly Finished Goods in data going back to fiscal Q4 2018.
- On a year-over-year basis, Finished Goods has increased in each of the last ten quarters, with growth averaging 31.6% over the last eight quarters.
- The strongest year-over-year quarter for Finished Goods in the past five years was fiscal Q4 2019, with growth of 228.6%; the weakest was fiscal Q4 2020, with a decline of 38.2%.
- According to Business Quant data, Finished Goods for the three prior fiscal quarters was $9.92 million (Q3 2023), $11.06 million (Q2 2023) and $10.87 million (Q1 2023).
Peer Set
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
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2023 | 12.30 Mn |
| Sep 30, 2023 | 9.92 Mn |
| Jun 30, 2023 | 11.06 Mn |
| Mar 31, 2023 | 10.87 Mn |
| Dec 31, 2022 | 9.37 Mn |
| Sep 30, 2022 | 9.60 Mn |
| Jun 30, 2022 | 9.34 Mn |
| Mar 31, 2022 | 8.31 Mn |
| Dec 31, 2021 | 6.41 Mn |
| Sep 30, 2021 | 6.57 Mn |
| Jun 30, 2021 | 6.43 Mn |
| Mar 31, 2021 | 6.31 Mn |
| Dec 31, 2020 | 4.94 Mn |
| Sep 30, 2020 | 6.33 Mn |
| Jun 30, 2020 | 7.55 Mn |
| Mar 31, 2020 | 7.42 Mn |
| Dec 31, 2019 | 7.99 Mn |
| Sep 30, 2019 | 8.24 Mn |
| Dec 31, 2018 | 2.43 Mn |
API Access
Powerfleet Finished Goods 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=finished-goods&ticker=AIOT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "finished-goods", "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=finished-goods&ticker=AIOT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();