Freedom Holding (FRHC) Operating Expenses (2010 - 2026)
Freedom Holding (FRHC) recorded Operating Expenses of $691.69 million in fiscal Q1 2027 (quarter ended Jun 30, 2026), up 45.2% from $476.51 million a year earlier and up 46.5% from the prior quarter.
Freedom Holding (FRHC) Operating Expenses (2010 - 2026) Analysis & Trends
On a TTM basis, Freedom Holding's Operating Expenses came in at $2.16 billion as of Jun 30, 2026, up 10.3% year-over-year; for FY2026 (ended Mar 31, 2026), it came in at $1.97 billion, up 3.5% from FY2025.
- Annual Operating Expenses has a five-year compound annual growth rate of 58.7% (FY2021 to FY2026).
- Across earlier fiscal years, Operating Expenses came in at $1.9 billion in FY2025 (+57.2%), $1.21 billion in FY2024, $130.22 million in FY2023 and $326.1 million in FY2022 (+67.2%).
- The fiscal Q1 2027 figure is the highest quarterly Operating Expenses in data going back to fiscal Q1 2011.
- On a year-over-year basis, Operating Expenses rose in seven of the last eight quarters, with growth averaging 27.6%.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 154.4% in fiscal Q2 2024, against a decline of 5.6% in fiscal Q3 2026 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $472.12 million (Q4 2026), $534.68 million (Q3 2026) and $465.62 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 890.60 Bn | 920.07 Bn | - | 27.32 Bn |
| 2 | Banco Santander Chile | 421.74 Bn | 541.68 Bn | - | -3,218.32 Bn |
| 3 | Bank Of America | 385.85 Bn | -1,990.22 Bn | - | 18.63 Bn |
| 4 | Hsbc Holdings | 345.94 Bn | 345.99 Bn | - | - |
| 5 | Morgan Stanley | 303.15 Bn | -205.95 Bn | - | 13.90 Bn |
| 6 | Royal Bank Of Canada | 279.82 Bn | 130.57 Bn | - | 7.02 Bn |
| 7 | Mitsubishi Ufj Financial | 274.62 Bn | -1,313.87 Bn | 10.89 Bn | 17.50 Bn |
| 8 | Goldman Sachs | 267.07 Bn | -3,290.04 Bn | - | 11.67 Bn |
| 9 | Wells Fargo & Company | 243.79 Bn | 245.93 Bn | - | 13.66 Bn |
| 10 | Freedom Holding | 10.44 Bn | 10.44 Bn | 697.28 Mn | 691.69 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 691.69 Mn |
| Mar 31, 2026 | 472.12 Mn |
| Dec 31, 2025 | 534.68 Mn |
| Sep 30, 2025 | 465.62 Mn |
| Jun 30, 2025 | 476.51 Mn |
| Mar 31, 2025 | 462.27 Mn |
| Dec 31, 2024 | 566.25 Mn |
| Sep 30, 2024 | 457.65 Mn |
| Jun 30, 2024 | 413.40 Mn |
| Mar 31, 2024 | 368.78 Mn |
| Dec 31, 2023 | 307.02 Mn |
| Sep 30, 2023 | 300.89 Mn |
| Jun 30, 2023 | 231.63 Mn |
| Mar 31, 2023 | 161.92 Mn |
| Dec 31, 2022 | 162.52 Mn |
| Sep 30, 2022 | 118.26 Mn |
| Jun 30, 2022 | 120.51 Mn |
| Mar 31, 2022 | 155.78 Mn |
| Dec 31, 2021 | 67.26 Mn |
| Sep 30, 2021 | 76.41 Mn |
Freedom Holding 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=FRHC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "FRHC", "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=FRHC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();