Embecta (EMBC) Receivables - Net (2021 - 2026)
Embecta's (EMBC) quarterly Receivables - Net came in at $182.2 million in Q2 2026, little changed year-over-year from $182.8 million in Q2 2025, and up 23.86% quarter-over-quarter from $147.1 million in Q1 2026.
Embecta (EMBC) Receivables - Net (2021 - 2026) Analysis & Trends
Embecta has disclosed Receivables - Net across 6 years of filings, most recently posting $182.2 million for Q2 2026.
- In Q2 2026, Receivables - Net changed 0.33% year-over-year to $182.2 million; the TTM figure through Jun 2026 stood at $182.2 million (changed 0.33% YoY), while the FY2025 annual figure was $145.6 million, down 24.56% from the prior year.
- Receivables - Net came in at $182.2 million for Q2 2026 at Embecta, up from $147.1 million in the prior quarter.
- In the past five years, Receivables - Net ranged from a high of $193.0 million in Q3 2024 to a low of $15.2 million in Q1 2022.
- Average Receivables - Net over 5 years is $105.8 million, with a median of $134.6 million recorded in 2024.
- Year-over-year, Receivables - Net slumped 85.26% in 2022 and surged 1055.69% in 2024.
- Over 5 years, Receivables - Net stood at $19.9 million in 2022, then surged by 382.91% to $96.1 million in 2023, then soared by 88.24% to $180.9 million in 2024, then fell by 12.0% to $159.2 million in 2025, then increased by 14.45% to $182.2 million in 2026.
- Per Business Quant data, the three most recent Receivables - Net figures were $182.2 million in Q2 2026, $147.1 million in Q1 2026, and $159.2 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 | 182.20 Mn |
| Mar 31, 2026 | 147.10 Mn |
| Dec 31, 2025 | 159.20 Mn |
| Sep 30, 2025 | 145.60 Mn |
| Jun 30, 2025 | 182.80 Mn |
| Mar 31, 2025 | 185.60 Mn |
| Dec 31, 2024 | 180.90 Mn |
| Sep 30, 2024 | 193.00 Mn |
| Jun 30, 2024 | 171.80 Mn |
| Mar 31, 2024 | 123.70 Mn |
| Dec 31, 2023 | 96.10 Mn |
| Sep 30, 2023 | 16.70 Mn |
| Jun 30, 2023 | 21.10 Mn |
| Mar 31, 2023 | 19.10 Mn |
| Dec 31, 2022 | 19.90 Mn |
| Sep 30, 2022 | 22.20 Mn |
| Jun 30, 2022 | 22.20 Mn |
| Mar 31, 2022 | 15.20 Mn |
| Dec 31, 2021 | 118.30 Mn |
| Sep 30, 2021 | 150.60 Mn |
Embecta Receivables - Net 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=receivables-net&ticker=EMBC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables-net", "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=receivables-net&ticker=EMBC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();