Veralto (VLTO) Exchange Rate Effect (2023 - 2026)
Veralto's Exchange Rate Effect was -$4 million in Q2 2026, compared with $36 million a year earlier.
Analysis
Veralto (VLTO) Exchange Rate Effect (2023 - 2026) Analysis & Trends
On a trailing twelve-month basis, Veralto's Exchange Rate Effect was -$16 million through Jul 3, 2026; for FY2025, it came in at $53 million.
- In earlier years, Exchange Rate Effect was -$37 million in FY2024 and -$11 million in FY2023.
- Quarterly Exchange Rate Effect has moved between -$41 million (Q4 2024) and $36 million (Q2 2025) over five years.
- Per Business Quant data, VLTO's Exchange Rate Effect in the three quarters before Q2 2026 was -$11 million (Q1 2026), $5 million (Q4 2025) and -$6 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Ecolab | 77.88 Bn | 69.66 Bn | 1.95 Bn | 5.60 Mn |
| 2 | Veralto | 23.60 Bn | 16.25 Bn | 902.00 Mn | -4.00 Mn |
| 3 | Xylem | 23.57 Bn | 19.05 Bn | 963.00 Mn | -16.00 Mn |
| 4 | Badger Meter | 3.65 Bn | 2.92 Bn | 90.77 Mn | -370,000.00 |
| 5 | Ceco Environmental | 3.06 Bn | 2.89 Bn | 86.47 Mn | -1.59 Mn |
| 6 | NWPX Infrastructure | 986.65 Mn | 948.13 Mn | 34.36 Mn | - |
| 7 | Energy Recovery | 345.43 Mn | 20.59 Mn | 8.96 Mn | -5,000.00 |
| 8 | Cadiz | 301.30 Mn | 269.74 Mn | -24,000.00 | - |
| 9 | AirJoule Technologies | 289.72 Mn | 169.35 Mn | - | - |
| 10 | LanzaTech Global | 77.10 Mn | -38.04 Mn | 1.91 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 3, 2026 | -4.00 Mn |
| Apr 3, 2026 | -11.00 Mn |
| Dec 31, 2025 | 5.00 Mn |
| Oct 3, 2025 | -6.00 Mn |
| Jul 4, 2025 | 36.00 Mn |
| Apr 4, 2025 | 18.00 Mn |
| Dec 31, 2024 | -41.00 Mn |
| Sep 27, 2024 | 22.00 Mn |
| Jun 28, 2024 | -11.00 Mn |
| Mar 29, 2024 | -7.00 Mn |
| Dec 31, 2023 | -2.00 Mn |
| Sep 29, 2023 | -9.00 Mn |
API Access
Veralto 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=VLTO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "ticker": "VLTO", "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=VLTO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();