Fatpipe (FATN) Exchange Rate Effect (2024 - 2026)
Fatpipe's Exchange Rate Effect came in at -$130,138 for fiscal Q1 2027 (quarter ended Jun 30, 2026), compared with -$55,759 a year earlier.
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Analysis
Fatpipe (FATN) Exchange Rate Effect (2024 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Fatpipe reported Exchange Rate Effect of -$266,409; for FY2026 (ended Mar 31, 2026), it came in at -$192,030.
- Going back by fiscal year, Exchange Rate Effect was -$153,822 in FY2025 and $211,952 in FY2024.
- The fiscal Q1 2027 figure represents the lowest quarterly Exchange Rate Effect since fiscal Q4 2025.
- Business Quant data shows FATN's Exchange Rate Effect at -$50,729 (Q4 2026), -$12,803 (Q3 2026) and -$72,739 (Q2 2026) in the three fiscal quarters before Q1 2027.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 4,943.67 Bn | 4,691.16 Bn | 54.77 Bn | - |
| 2 | Cisco Systems | 421.20 Bn | 357.13 Bn | 11.06 Bn | 28.00 Mn |
| 3 | Dell Technologies | 347.85 Bn | 303.60 Bn | 9.83 Bn | -22.00 Mn |
| 4 | Arista Networks | 258.42 Bn | 211.87 Bn | 1.91 Bn | -1.00 Mn |
| 5 | Sandisk | 250.08 Bn | 238.60 Bn | 7.58 Bn | - |
| 6 | Seagate Technology Holdings | 208.99 Bn | 203.98 Bn | 1.90 Bn | - |
| 7 | Western Digital | 163.62 Bn | 151.74 Bn | 2.03 Bn | - |
| 8 | Sony | 143.48 Bn | 93.86 Bn | 6.53 Bn | 650.39 Mn |
| 9 | Hewlett Packard Enterprise | 83.23 Bn | 61.11 Bn | 4.93 Bn | -30.00 Mn |
| 10 | Fatpipe | 73.17 Mn | 51.25 Mn | 4.64 Mn | -130,138.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -130,138.00 |
| Mar 31, 2026 | -50,729.00 |
| Dec 31, 2025 | -12,803.00 |
| Sep 30, 2025 | -72,739.00 |
| Jun 30, 2025 | -55,759.00 |
| Mar 31, 2025 | -470,712.00 |
| Dec 31, 2024 | 304,188.00 |
| Sep 30, 2024 | 99,958.00 |
| Jun 30, 2024 | -87,256.00 |
API Access
Fatpipe 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=FATN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "ticker": "FATN", "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=FATN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();