Lesaka Technologies (LSAK) Operating Expenses (2009 - 2026)
Lesaka Technologies' Operating Expenses was $41.06 million in fiscal Q4 2026 (quarter ended Jun 30, 2026), up 28.1% from $32.04 million a year earlier and up 4.6% from the prior quarter.
Lesaka Technologies (LSAK) Operating Expenses (2009 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Operating Expenses at Lesaka Technologies came in at $153.47 million, up 24.0% from FY2025.
- Operating Expenses shows a five-year compound annual growth rate of 12.8% (FY2021 to FY2026).
- In earlier fiscal years, Operating Expenses was $123.73 million in FY2025 (+38.5%), $89.32 million in FY2024 (-6.0%), $95.05 million in FY2023 (+17.3%) and $81.02 million in FY2022 (-3.6%).
- The fiscal Q4 2026 figure marks the highest quarterly Operating Expenses since fiscal Q2 2019.
- Compared with a year earlier, Operating Expenses has increased for eight straight quarters, with growth averaging 33.1% over the last eight quarters.
- The best year-over-year quarter for Operating Expenses over five years was fiscal Q2 2025 (growth of 58.1%); the worst was fiscal Q2 2022 (a decline of 13.0%).
- Per Business Quant data, LSAK's Operating Expenses in the three fiscal quarters before Q4 2026 was $39.25 million (Q3 2026), $36.12 million (Q2 2026) and $39.73 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Orix | 43.85 Bn | 44.35 Bn | - | 4.66 Bn |
| 2 | Rocket Companies | 43.67 Bn | 29.35 Bn | - | 2.50 Bn |
| 3 | Royalty Pharma | 33.56 Bn | 33.48 Bn | - | 541.02 Mn |
| 4 | Federal National Mortgage Association Fannie Mae | 25.52 Bn | 25.52 Bn | - | 2.07 Bn |
| 5 | Synchrony Financial | 23.24 Bn | -44.73 Bn | - | 1.33 Bn |
| 6 | Affirm Holdings | 22.66 Bn | 16.35 Bn | - | 1.02 Bn |
| 7 | Royal Gold | 20.35 Bn | 19.57 Bn | 390.45 Mn | 173.18 Mn |
| 8 | Annaly Capital Management | 15.27 Bn | 6.37 Bn | - | 58.19 Mn |
| 9 | Ares Capital | 13.74 Bn | 11.17 Bn | - | - |
| 10 | Lesaka Technologies | 347.39 Mn | 112.74 Mn | 62.73 Mn | 41.06 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 41.06 Mn |
| Mar 31, 2026 | 39.25 Mn |
| Dec 31, 2025 | 36.12 Mn |
| Sep 30, 2025 | 39.73 Mn |
| Jun 30, 2025 | 32.04 Mn |
| Mar 31, 2025 | 32.59 Mn |
| Dec 31, 2024 | 34.06 Mn |
| Sep 30, 2024 | 28.43 Mn |
| Jun 30, 2024 | 21.51 Mn |
| Mar 31, 2024 | 23.76 Mn |
| Dec 31, 2023 | 21.54 Mn |
| Sep 30, 2023 | 22.52 Mn |
| Jun 30, 2023 | 24.06 Mn |
| Mar 31, 2023 | 24.55 Mn |
| Dec 31, 2022 | 23.52 Mn |
| Sep 30, 2022 | 22.93 Mn |
| Jun 30, 2022 | 21.79 Mn |
| Mar 31, 2022 | 21.04 Mn |
| Dec 31, 2021 | 19.24 Mn |
| Sep 30, 2021 | 20.63 Mn |
Lesaka Technologies Operating 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=operating-expenses&ticker=LSAK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=LSAK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();