Lesaka Technologies (LSAK) Accumulated Expenses (2010 - 2023)
Lesaka Technologies' Accumulated Expenses came in at $11.6 million for fiscal Q3 2023 (quarter ended Mar 31, 2023), up 46.5% from $7.92 million a year earlier and up 30.3% from the prior quarter.
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Analysis
Lesaka Technologies (LSAK) Accumulated Expenses (2010 - 2023) Analysis & Trends
At the end of FY2022 (ended Jun 30, 2022), Lesaka Technologies' Accumulated Expenses was $9.95 million, up 32.6% from FY2021.
- Accumulated Expenses carries a five-year compound annual growth rate of -1.8% (FY2017 to FY2022).
- Going back by fiscal year, Accumulated Expenses was $7.5 million in FY2021 (+24.1%), $6.05 million in FY2020 (-24.8%), $8.04 million in FY2019 (-50.2%) and $16.15 million in FY2018 (+48.5%).
- The fiscal Q3 2023 figure represents the highest quarterly Accumulated Expenses since fiscal Q2 2020.
- Year-over-year, Accumulated Expenses increased in six of the last eight quarters, with growth averaging 21.0%.
- The fastest year-over-year change in Accumulated Expenses over five years came in fiscal Q4 2018 (growth of 48.5%), and the weakest in fiscal Q2 2021 (a decline of 54.0%).
- Business Quant data shows LSAK's Accumulated Expenses at $8.9 million (Q2 2023), $7.14 million (Q1 2023) and $9.95 million (Q4 2022) in the three fiscal quarters before Q3 2023.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Rocket Companies | 43.26 Bn | 28.94 Bn | - |
| 2 | Orix | 42.40 Bn | 42.90 Bn | - |
| 3 | Royalty Pharma | 33.56 Bn | 33.47 Bn | - |
| 4 | Federal National Mortgage Association Fannie Mae | 24.47 Bn | 24.47 Bn | - |
| 5 | Affirm Holdings | 23.34 Bn | 17.03 Bn | - |
| 6 | Synchrony Financial | 23.06 Bn | -44.91 Bn | - |
| 7 | Royal Gold | 19.98 Bn | 19.21 Bn | 390.45 Mn |
| 8 | Annaly Capital Management | 14.18 Bn | 5.27 Bn | - |
| 9 | Ares Capital | 13.71 Bn | 11.15 Bn | - |
| 10 | Lesaka Technologies | 360.72 Mn | 126.07 Mn | 62.73 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2023 | 11.60 Mn |
| Dec 31, 2022 | 8.90 Mn |
| Sep 30, 2022 | 7.14 Mn |
| Jun 30, 2022 | 9.95 Mn |
| Mar 31, 2022 | 7.92 Mn |
| Dec 31, 2021 | 10.08 Mn |
| Sep 30, 2021 | 7.81 Mn |
| Jun 30, 2021 | 7.50 Mn |
| Mar 31, 2021 | 5.90 Mn |
| Dec 31, 2020 | 7.07 Mn |
| Sep 30, 2020 | 7.19 Mn |
| Jun 30, 2020 | 6.05 Mn |
| Mar 31, 2020 | 7.51 Mn |
| Dec 31, 2019 | 15.38 Mn |
| Sep 30, 2019 | 11.42 Mn |
| Jun 30, 2019 | 8.04 Mn |
| Jun 30, 2018 | 16.15 Mn |
| Jun 30, 2017 | 10.87 Mn |
| Jun 30, 2016 | 12.59 Mn |
| Jun 30, 2015 | 14.48 Mn |
API Access
Lesaka Technologies 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=accumulated-expenses&ticker=LSAK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "LSAK", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=accumulated-expenses&ticker=LSAK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();