Houlihan Lokey (HLI) Exchange Rate Effect (2014 - 2026)
Houlihan Lokey's Exchange Rate Effect came in at -$1 million for fiscal Q2 2027 (quarter ended Sep 30, 2026), compared with -$8 million a year earlier.
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Analysis
Houlihan Lokey (HLI) Exchange Rate Effect (2014 - 2026) Analysis & Trends
Over the trailing twelve months to Sep 30, 2026, Houlihan Lokey reported Exchange Rate Effect of -$32.07 million; for FY2026 (ended Mar 31, 2026), it was $4.93 million.
- Exchange Rate Effect carries a five-year compound annual growth rate of -17.9% (FY2021 to FY2026).
- Going back by fiscal year, Exchange Rate Effect was -$756,000 in FY2025, -$425,000 in FY2024, -$12.07 million in FY2023 and -$16.78 million in FY2022.
- The fiscal Q2 2027 figure represents the highest quarterly Exchange Rate Effect since fiscal Q1 2026.
- Business Quant data shows HLI's Exchange Rate Effect at -$3 million (Q1 2027), -$18.08 million (Q4 2026) and -$9.99 million (Q3 2026) in the three fiscal quarters before Q2 2027.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Cme | 109.34 Bn | 97.67 Bn | - | - |
| 2 | Bank of New York Mellon | 103.32 Bn | 36.94 Bn | - | -12.00 Mn |
| 3 | Intercontinental Exchange | 97.84 Bn | 90.74 Bn | - | -3.00 Mn |
| 4 | Robinhood Markets | 73.91 Bn | 53.45 Bn | - | -19.00 Mn |
| 5 | Nasdaq | 60.30 Bn | 57.74 Bn | 1.48 Bn | -23.00 Mn |
| 6 | State Street | 47.09 Bn | 47.09 Bn | - | - |
| 7 | Cboe Global Markets | 37.14 Bn | 27.62 Bn | 712.20 Mn | -29.80 Mn |
| 8 | Interactive Brokers | 35.28 Bn | 11.58 Bn | - | -44.00 Mn |
| 9 | Northern Trust | 32.35 Bn | 32.35 Bn | - | -103.10 Mn |
| 10 | Houlihan Lokey | 9.82 Bn | 5.99 Bn | - | -1.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | -1.00 Mn |
| Jun 30, 2026 | -3.00 Mn |
| Mar 31, 2026 | -18.08 Mn |
| Dec 31, 2025 | -9.99 Mn |
| Sep 30, 2025 | -8.00 Mn |
| Jun 30, 2025 | 41.00 Mn |
| Mar 31, 2025 | 13.84 Mn |
| Dec 31, 2024 | -32.83 Mn |
| Sep 30, 2024 | 23.33 Mn |
| Jun 30, 2024 | -5.10 Mn |
| Mar 31, 2024 | -8.53 Mn |
| Dec 31, 2023 | 19.06 Mn |
| Sep 30, 2023 | -9.71 Mn |
| Jun 30, 2023 | -1.24 Mn |
| Mar 31, 2023 | -1.05 Mn |
| Dec 31, 2022 | 10.48 Mn |
| Sep 30, 2022 | -10.24 Mn |
| Jun 30, 2022 | -11.26 Mn |
| Mar 31, 2022 | -12.73 Mn |
| Dec 31, 2021 | -2.78 Mn |
API Access
Houlihan Lokey Exchange Rate Effect 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=exchange-rate-effect&ticker=HLI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "ticker": "HLI", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=exchange-rate-effect&ticker=HLI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();