Pacific Biosciences Of California (PACB) Receivables (2010 - 2026)
Pacific Biosciences Of California's Receivables was $31.1 million in Q2 2026, down 3.6% from $32.26 million a year earlier but up 6.0% from the prior quarter.
Pacific Biosciences Of California (PACB) Receivables (2010 - 2026) Analysis & Trends
At the end of FY2025, Receivables at Pacific Biosciences Of California came in at $35.45 million, up 28.8% from FY2024.
- Receivables shows a five-year compound annual growth rate of 16.1% (FY2020 to FY2025).
- In earlier years, Receivables was $27.52 million in FY2024 (-24.8%), $36.62 million in FY2023 (+94.9%), $18.79 million in FY2022 (-22.5%) and $24.24 million in FY2021 (+44.0%).
- Quarterly Receivables has moved between $18.79 million (Q4 2022) and $36.62 million (Q4 2023) over five years.
- Compared with a year earlier, Receivables was higher in three of the last eight quarters, with an average decline of 0.3%.
- The best year-over-year quarter for Receivables over five years was Q1 2022 (growth of 115.8%); the worst was Q4 2024 (a decline of 24.8%).
- Per Business Quant data, PACB's Receivables in the three quarters before Q2 2026 was $29.35 million (Q1 2026), $35.45 million (Q4 2025) and $30.62 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.84 Bn | 229.99 Bn | 4.88 Bn | 11.14 Bn |
| 2 | Abbott Laboratories | 174.73 Bn | 145.82 Bn | 7.27 Bn | 8.60 Bn |
| 3 | Danaher | 159.85 Bn | 143.67 Bn | 3.61 Bn | 3.97 Bn |
| 4 | Intuitive Surgical | 146.79 Bn | 126.35 Bn | 1.96 Bn | 1.67 Bn |
| 5 | Medtronic | 114.54 Bn | 80.41 Bn | 6.34 Bn | 6.36 Bn |
| 6 | Stryker | 105.67 Bn | 91.79 Bn | 4.50 Bn | 3.74 Bn |
| 7 | Boston Scientific | 63.93 Bn | 58.94 Bn | 3.85 Bn | 3.05 Bn |
| 8 | Becton Dickinson | 50.12 Bn | 47.27 Bn | 2.32 Bn | 2.36 Bn |
| 9 | Edwards Lifesciences | 50.06 Bn | 34.17 Bn | 1.35 Bn | 955.70 Mn |
| 10 | Pacific Biosciences Of California | 531.49 Mn | -559.51 Mn | 12.64 Mn | 31.10 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 31.10 Mn |
| Mar 31, 2026 | 29.35 Mn |
| Dec 31, 2025 | 35.45 Mn |
| Sep 30, 2025 | 30.62 Mn |
| Jun 30, 2025 | 32.26 Mn |
| Mar 31, 2025 | 31.65 Mn |
| Dec 31, 2024 | 27.52 Mn |
| Sep 30, 2024 | 29.38 Mn |
| Jun 30, 2024 | 32.43 Mn |
| Mar 31, 2024 | 30.32 Mn |
| Dec 31, 2023 | 36.62 Mn |
| Sep 30, 2023 | 30.49 Mn |
| Jun 30, 2023 | 24.03 Mn |
| Mar 31, 2023 | 29.59 Mn |
| Dec 31, 2022 | 18.79 Mn |
| Sep 30, 2022 | 22.76 Mn |
| Jun 30, 2022 | 27.06 Mn |
| Mar 31, 2022 | 27.85 Mn |
| Dec 31, 2021 | 24.24 Mn |
| Sep 30, 2021 | 23.95 Mn |
Pacific Biosciences Of California Receivables 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&ticker=PACB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "ticker": "PACB", "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&ticker=PACB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();