Powerfleet (AIOT) Other Accumulated Expenses (2018 - 2023)
Powerfleet (AIOT) posted Other Accumulated Expenses of $579,000 for fiscal Q4 2023 (quarter ended Dec 31, 2023), down 28.1% from $805,000 a year earlier but up 9.2% from the prior quarter.
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Analysis
Powerfleet (AIOT) Other Accumulated Expenses (2018 - 2023) Analysis & Trends
Since fiscal Q4 2018, Powerfleet has reported Other Accumulated Expenses for 19 quarters.
- Annual Other Accumulated Expenses shows a five-year compound annual growth rate of 44.8% (FY2018 to FY2023).
- In prior fiscal years, Powerfleet's Other Accumulated Expenses was $805,000 in FY2022 (-42.4%), $1.4 million in FY2021 (+37.6%), $1.02 million in FY2020 (+227.4%) and $310,000 in FY2019 (+240.7%).
- Quarterly Other Accumulated Expenses has run from a low of $176,000 in fiscal Q2 2020 to a high of $1.44 million in fiscal Q3 2021 over five years.
- On a year-over-year basis, Other Accumulated Expenses increased in 1 of the last eight quarters, with an average decline of 27.2%.
- The strongest year-over-year quarter for Other Accumulated Expenses in the past five years was fiscal Q3 2021, with growth of 577.5%; the weakest was fiscal Q3 2022, with a decline of 58.9%.
- According to Business Quant data, Other Accumulated Expenses for the three prior fiscal quarters was $530,000 (Q3 2023), $526,000 (Q2 2023) and $573,000 (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 | 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
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2023 | 579,000.00 |
| Sep 30, 2023 | 530,000.00 |
| Jun 30, 2023 | 526,000.00 |
| Mar 31, 2023 | 573,000.00 |
| Dec 31, 2022 | 805,000.00 |
| Sep 30, 2022 | 593,000.00 |
| Jun 30, 2022 | 495,000.00 |
| Mar 31, 2022 | 804,000.00 |
| Dec 31, 2021 | 1.40 Mn |
| Sep 30, 2021 | 1.44 Mn |
| Jun 30, 2021 | 825,000.00 |
| Mar 31, 2021 | 950,000.00 |
| Dec 31, 2020 | 1.02 Mn |
| Sep 30, 2020 | 213,000.00 |
| Jun 30, 2020 | 176,000.00 |
| Mar 31, 2020 | 327,000.00 |
| Dec 31, 2019 | 310,000.00 |
| Sep 30, 2019 | 245,000.00 |
| Dec 31, 2018 | 91,000.00 |
API Access
Powerfleet Other Accumulated Expenses 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=other-accumulated-expenses&ticker=AIOT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "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=other-accumulated-expenses&ticker=AIOT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();