Velo3D (VELO) Exchange Rate Effect (2021 - 2025)
Velo3D's Exchange Rate Effect came in at $1,000 for Q4 2025, compared with -$10,000 a year earlier.
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Analysis
Velo3D (VELO) Exchange Rate Effect (2021 - 2025) Analysis & Trends
For FY2025, Velo3D's Exchange Rate Effect was $5,000.
- Going back by year, Exchange Rate Effect was -$4,000 in FY2024, -$5,000 in FY2023, $23,000 in FY2022 and -$7,000 in FY2021.
- The five-year range for quarterly Exchange Rate Effect is -$50,000 (Q3 2022) to $80,000 (Q4 2022).
- Business Quant data shows VELO's Exchange Rate Effect at -$2,000 (Q3 2025), -$1,000 (Q2 2025) and $7,000 (Q1 2025) in the three quarters before Q4 2025.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 340.33 Bn | 312.03 Bn | 7.76 Bn | 20.00 Mn |
| 2 | Amphenol | 195.04 Bn | 189.62 Bn | 3.55 Bn | 30.10 Mn |
| 3 | Deere | 171.72 Bn | 139.81 Bn | 4.66 Bn | -74.00 Mn |
| 4 | Eaton | 152.74 Bn | 149.93 Bn | 2.86 Bn | -1.00 Mn |
| 5 | Parker-Hannifin | 120.82 Bn | 118.95 Bn | 2.25 Bn | 4.00 Mn |
| 6 | Emerson Electric | 91.30 Bn | 84.04 Bn | 2.66 Bn | -12.00 Mn |
| 7 | 3M | 90.37 Bn | 71.82 Bn | 2.78 Bn | - |
| 8 | Vertiv Holdings | 81.71 Bn | 72.33 Bn | 1.23 Bn | 3.50 Mn |
| 9 | Illinois Tool Works | 79.34 Bn | 75.90 Bn | 1.90 Bn | 6.00 Mn |
| 10 | Velo3D | 203.78 Mn | 89.04 Mn | 4.44 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 1,000.00 |
| Sep 30, 2025 | -2,000.00 |
| Jun 30, 2025 | -1,000.00 |
| Mar 31, 2025 | 7,000.00 |
| Dec 31, 2024 | -10,000.00 |
| Sep 30, 2024 | 2,000.00 |
| Jun 30, 2024 | -1,000.00 |
| Mar 31, 2024 | 5,000.00 |
| Dec 31, 2023 | 6,000.00 |
| Jun 30, 2023 | -5,000.00 |
| Mar 31, 2023 | -6,000.00 |
| Dec 31, 2022 | 80,000.00 |
| Sep 30, 2022 | -50,000.00 |
| Jun 30, 2022 | -14,000.00 |
| Mar 31, 2022 | 7,000.00 |
| Dec 31, 2021 | -7,000.00 |
API Access
Velo3D 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=VELO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "ticker": "VELO", "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=VELO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();