Embecta (EMBC) Prepaid Assets (2021 - 2026)
Embecta's (EMBC) quarterly Prepaid Assets came in at $90.5 million in Q2 2026, up 39.02% year-over-year from $65.1 million in Q2 2025, and up 20.67% quarter-over-quarter from $75.0 million in Q1 2026.
Embecta (EMBC) Prepaid Assets (2021 - 2026) Analysis & Trends
Embecta has disclosed Prepaid Assets across 6 years of filings, most recently posting $90.5 million for Q2 2026.
- In Q2 2026, Prepaid Assets rose 39.02% year-over-year to $90.5 million; the TTM figure through Jun 2026 stood at $90.5 million (up 39.02% YoY), while the FY2025 annual figure was $75.3 million, up 9.93% from the prior year.
- Prepaid Assets came in at $90.5 million for Q2 2026 at Embecta, up from $75.0 million in the prior quarter.
- In the past five years, Prepaid Assets ranged from a high of $111.4 million in Q3 2023 to a low of $24.6 million in Q1 2022.
- Average Prepaid Assets over 5 years is $74.4 million, with a median of $74.9 million recorded in 2025.
- Year-over-year, Prepaid Assets jumped 329.67% in 2022 and slumped 38.51% in 2024.
- Over 5 years, Prepaid Assets stood at $89.8 million in 2022, then retreated by 27.39% to $65.2 million in 2023, then slipped by 6.6% to $60.9 million in 2024, then advanced by 22.82% to $74.8 million in 2025, then increased by 20.99% to $90.5 million in 2026.
- Per Business Quant data, the three most recent Prepaid Assets figures were $90.5 million in Q2 2026, $75.0 million in Q1 2026, and $74.8 million in Q4 2025.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Abbott Laboratories | 178.18 Bn | 173.23 Bn | 7.27 Bn |
| 2 | Intuitive Surgical | 142.14 Bn | 137.06 Bn | 1.96 Bn |
| 3 | Medtronic | 117.43 Bn | 109.23 Bn | 6.34 Bn |
| 4 | Stryker | 105.15 Bn | 101.68 Bn | 4.50 Bn |
| 5 | Boston Scientific | 63.37 Bn | 63.08 Bn | 3.85 Bn |
| 6 | Edwards Lifesciences | 50.93 Bn | 46.79 Bn | 1.35 Bn |
| 7 | Dexcom | 33.65 Bn | 31.71 Bn | 830.00 Mn |
| 8 | Resmed | 32.27 Bn | 30.80 Bn | 861.22 Mn |
| 9 | Alcon | 31.62 Bn | 30.17 Bn | 1.68 Bn |
| 10 | Embecta | 300.30 Mn | 82.10 Mn | 153.30 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 90.50 Mn |
| Mar 31, 2026 | 75.00 Mn |
| Dec 31, 2025 | 74.80 Mn |
| Sep 30, 2025 | 75.30 Mn |
| Jun 30, 2025 | 65.10 Mn |
| Mar 31, 2025 | 59.30 Mn |
| Dec 31, 2024 | 60.90 Mn |
| Sep 30, 2024 | 68.50 Mn |
| Jun 30, 2024 | 70.30 Mn |
| Mar 31, 2024 | 83.30 Mn |
| Dec 31, 2023 | 65.20 Mn |
| Sep 30, 2023 | 111.40 Mn |
| Jun 30, 2023 | 109.70 Mn |
| Mar 31, 2023 | 99.60 Mn |
| Dec 31, 2022 | 89.80 Mn |
| Sep 30, 2022 | 77.90 Mn |
| Jun 30, 2022 | 38.80 Mn |
| Mar 31, 2022 | 24.60 Mn |
| Dec 31, 2021 | 20.90 Mn |
| Sep 30, 2021 | 23.20 Mn |
Embecta Prepaid Assets 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=prepaid-assets&ticker=EMBC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "prepaid-assets", "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=prepaid-assets&ticker=EMBC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();