Embecta (EMBC) Exchange Rate Effect (2022 - 2026)
Embecta's (EMBC) quarterly Exchange Rate Effect came in at $100000.0 in Q2 2026, down 96.77% year-over-year from $3.1 million in Q2 2025, and up 200.0% quarter-over-quarter from -$100000.0 in Q1 2026.
Embecta (EMBC) Exchange Rate Effect (2022 - 2026) Analysis & Trends
Embecta has disclosed Exchange Rate Effect across 5 years of filings, most recently posting $100000.0 for Q2 2026.
- In Q2 2026, Exchange Rate Effect fell 96.77% year-over-year to $100000.0; the TTM figure through Jun 2026 stood at $600000.0 (down 50.0% YoY), while the FY2025 annual figure was -$1.3 million, down 208.33% from the prior year.
- Exchange Rate Effect came in at $100000.0 for Q2 2026 at Embecta, up from -$100000.0 in the prior quarter.
- In the past five years, Exchange Rate Effect ranged from a high of $4.7 million in Q4 2022 to a low of -$5.5 million in Q4 2024.
- Average Exchange Rate Effect over 5 years is -$311111.1, with a median of -$100000.0 recorded in 2025.
- Year-over-year, Exchange Rate Effect sank 466.67% in 2024 and surged 321.43% in 2025.
- Over 5 years, Exchange Rate Effect stood at $4.7 million in 2022, then tumbled by 68.09% to $1.5 million in 2023, then slumped by 466.67% to -$5.5 million in 2024, then surged by 112.73% to $700000.0 in 2025, then tumbled by 85.71% to $100000.0 in 2026.
- Per Business Quant data, the three most recent Exchange Rate Effect figures were $100000.0 in Q2 2026, -$100000.0 in Q1 2026, and $700000.0 in Q4 2025.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Abbott Laboratories | 178.18 Bn | 173.23 Bn | 7.27 Bn | 4.00 Mn |
| 2 | Intuitive Surgical | 142.14 Bn | 137.06 Bn | 1.96 Bn | 7.10 Mn |
| 3 | Medtronic | 117.43 Bn | 109.23 Bn | 6.34 Bn | -89.00 Mn |
| 4 | Stryker | 105.15 Bn | 101.68 Bn | 4.50 Bn | -14.00 Mn |
| 5 | Boston Scientific | 63.37 Bn | 63.08 Bn | 3.85 Bn | 1.00 Mn |
| 6 | Edwards Lifesciences | 50.93 Bn | 46.79 Bn | 1.35 Bn | 3.80 Mn |
| 7 | Dexcom | 33.65 Bn | 31.71 Bn | 830.00 Mn | -4.90 Mn |
| 8 | Resmed | 32.27 Bn | 30.80 Bn | 861.22 Mn | 905,000.00 |
| 9 | Alcon | 31.62 Bn | 30.17 Bn | 1.68 Bn | -1.00 Mn |
| 10 | Embecta | 300.30 Mn | 82.10 Mn | 153.30 Mn | 100,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 100,000.00 |
| Mar 31, 2026 | -100,000.00 |
| Dec 31, 2025 | 700,000.00 |
| Sep 30, 2025 | -100,000.00 |
| Jun 30, 2025 | 3.10 Mn |
| Mar 31, 2025 | 1.20 Mn |
| Dec 31, 2024 | -5.50 Mn |
| Sep 30, 2024 | 2.40 Mn |
| Jun 30, 2024 | -1.40 Mn |
| Mar 31, 2024 | -1.30 Mn |
| Dec 31, 2023 | 1.50 Mn |
| Sep 30, 2023 | -1.60 Mn |
| Jun 30, 2023 | -700,000.00 |
| Mar 31, 2023 | 700,000.00 |
| Dec 31, 2022 | 4.70 Mn |
| Sep 30, 2022 | -3.70 Mn |
| Jun 30, 2022 | -2.80 Mn |
| Mar 31, 2022 | -2.80 Mn |
Embecta 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=EMBC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "ticker": "EMBC", "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=EMBC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();