Gilat Satellite Networks (GILT) Exchange Rate Effect (2009 - 2026)
Gilat Satellite Networks' Exchange Rate Effect was $11.29 million in the quarter ended Jun 30, 2026, compared with -$6.64 million a year earlier.
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Analysis
Gilat Satellite Networks (GILT) Exchange Rate Effect (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Gilat Satellite Networks' Exchange Rate Effect was $15.78 million through Jun 30, 2026, up 483.1% year-over-year; for the year ended Dec 31, 2025, it came in at $1.24 million.
- In earlier years, Exchange Rate Effect was -$1.45 million in the year ended Dec 31, 2024, -$63,000 in the year ended Dec 31, 2023, $32,000 in the year ended Dec 31, 2022 and -$303,000 in the year ended Dec 31, 2021.
- The figure for the quarter ended Jun 30, 2026 marks the highest quarterly Exchange Rate Effect in data going back to the quarter ended Mar 31, 2009.
- Compared with a year earlier, Exchange Rate Effect was higher in two of the last six quarters, with growth averaging 11.8%.
- Per Business Quant data, GILT's Exchange Rate Effect in the three quarters before the quarter ended Jun 30, 2026 was $246,000 (quarter ended Mar 31, 2026), $3.95 million (quarter ended Dec 31, 2025) and $298,000 (quarter ended Sep 30, 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 4,973.78 Bn | 4,721.27 Bn | 54.77 Bn | - |
| 2 | Cisco Systems | 421.43 Bn | 357.36 Bn | 11.06 Bn | 28.00 Mn |
| 3 | Dell Technologies | 298.89 Bn | 254.64 Bn | 9.83 Bn | -22.00 Mn |
| 4 | Arista Networks | 229.17 Bn | 182.63 Bn | 1.91 Bn | -1.00 Mn |
| 5 | Sandisk | 201.24 Bn | 189.76 Bn | 7.58 Bn | - |
| 6 | Sony | 150.15 Bn | 87.41 Bn | 6.53 Bn | 650.39 Mn |
| 7 | Seagate Technology Holdings | 148.39 Bn | 143.38 Bn | 1.90 Bn | - |
| 8 | Western Digital | 125.81 Bn | 113.94 Bn | 2.03 Bn | - |
| 9 | Hewlett Packard Enterprise | 75.15 Bn | 53.03 Bn | 4.93 Bn | -30.00 Mn |
| 10 | Gilat Satellite Networks | 464.73 Mn | -205.23 Mn | 37.26 Mn | 11.29 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 11.29 Mn |
| Mar 31, 2026 | 246,000.00 |
| Dec 31, 2025 | 3.95 Mn |
| Sep 30, 2025 | 298,000.00 |
| Jun 30, 2025 | -6.64 Mn |
| Mar 31, 2025 | 592,000.00 |
| Dec 31, 2024 | 8.59 Mn |
| Sep 30, 2024 | 160,000.00 |
| Jun 30, 2024 | -450,000.00 |
| Mar 31, 2024 | 3.51 Mn |
| Dec 31, 2023 | 2.29 Mn |
| Sep 30, 2023 | -1.34 Mn |
| Jun 30, 2023 | -433,000.00 |
| Mar 31, 2023 | -577,000.00 |
| Dec 31, 2022 | 47,000.00 |
| Sep 30, 2022 | -47,000.00 |
| Jun 30, 2022 | -221,000.00 |
| Mar 31, 2022 | 253,000.00 |
| Dec 31, 2021 | -51,000.00 |
| Sep 30, 2021 | -91,000.00 |
API Access
Gilat Satellite Networks 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=GILT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "ticker": "GILT", "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=GILT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();