Ouster (OUST) Exchange Rate Effect (2022 - 2025)
Ouster's Exchange Rate Effect was $42,000 in Q4 2025, compared with -$680,000 a year earlier.
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Analysis
Ouster (OUST) Exchange Rate Effect (2022 - 2025) Analysis & Trends
For FY2025, Exchange Rate Effect at Ouster came in at $478,000.
- In earlier years, Exchange Rate Effect was -$886,000 in FY2024, -$12,000 in FY2023 and -$143,000 in FY2022.
- Quarterly Exchange Rate Effect has moved between -$680,000 (Q4 2024) and $400,000 (Q2 2025) over five years.
- Per Business Quant data, OUST's Exchange Rate Effect in the three quarters before Q4 2025 was -$44,000 (Q3 2025), $400,000 (Q2 2025) and $80,000 (Q1 2025).
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 | Ouster | 2.80 Bn | 1.91 Bn | 26.69 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 42,000.00 |
| Sep 30, 2025 | -44,000.00 |
| Jun 30, 2025 | 400,000.00 |
| Mar 31, 2025 | 80,000.00 |
| Dec 31, 2024 | -680,000.00 |
| Sep 30, 2024 | 261,000.00 |
| Jun 30, 2024 | -297,000.00 |
| Mar 31, 2024 | -170,000.00 |
| Dec 31, 2023 | 257,000.00 |
| Sep 30, 2023 | -213,000.00 |
| Jun 30, 2023 | 23,000.00 |
| Mar 31, 2023 | -79,000.00 |
| Dec 31, 2022 | 32,000.00 |
| Sep 30, 2022 | -87,000.00 |
| Jun 30, 2022 | -76,000.00 |
| Mar 31, 2022 | -12,000.00 |
API Access
Ouster 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=OUST&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "ticker": "OUST", "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=OUST&period=max&api_key=YOUR_API_KEY");
const data = await res.json();