Organogenesis Holdings (ORGO) Cash & Equivalents (2015 - 2026)
Organogenesis Holdings' Cash & Equivalents came in at $46.1 million for Q2 2026, down 36.9% from $73.08 million a year earlier and down 49.6% from the prior quarter.
Organogenesis Holdings (ORGO) Cash & Equivalents (2015 - 2026) Analysis & Trends
At the end of FY2025, Organogenesis Holdings' Cash & Equivalents was $93.68 million, down 30.9% from FY2024.
- Cash & Equivalents carries a five-year compound annual growth rate of 2.1% (FY2020 to FY2025).
- Going back by year, Cash & Equivalents was $135.57 million in FY2024 (+30.6%), $103.84 million in FY2023 (+1.3%), $102.48 million in FY2022 (-10.1%) and $113.93 million in FY2021 (+35.0%).
- The Q2 2026 figure represents the lowest quarterly Cash & Equivalents since Q3 2018.
- Year-over-year, Cash & Equivalents has declined for five consecutive quarters, with an average decline of 10.6% over the last eight quarters.
- The fastest year-over-year change in Cash & Equivalents over five years came in Q4 2021 (growth of 35.0%), and the weakest in Q2 2026 (a decline of 36.9%).
- Business Quant data shows ORGO's Cash & Equivalents at $91.38 million (Q1 2026), $93.68 million (Q4 2025) and $63.75 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 266.22 Bn | 242.86 Bn | 5.13 Bn | 5.46 Bn |
| 2 | Abbott Laboratories | 191.31 Bn | 165.77 Bn | 7.39 Bn | 4.05 Bn |
| 3 | Danaher | 166.16 Bn | 145.82 Bn | 3.84 Bn | 5.68 Bn |
| 4 | Intuitive Surgical | 155.98 Bn | 136.40 Bn | 2.08 Bn | 2.98 Bn |
| 5 | Medtronic | 130.05 Bn | 96.18 Bn | 6.34 Bn | 1.69 Bn |
| 6 | Stryker | 123.40 Bn | 109.59 Bn | 4.25 Bn | 3.27 Bn |
| 7 | Boston Scientific | 64.81 Bn | 60.48 Bn | 3.43 Bn | 609.00 Mn |
| 8 | Edwards Lifesciences | 59.87 Bn | 43.18 Bn | 1.35 Bn | 3.11 Bn |
| 9 | Medline | 53.84 Bn | 50.96 Bn | 1.93 Bn | 2.32 Bn |
| 10 | Organogenesis Holdings | 122.01 Mn | -130.47 Mn | 23.56 Mn | 21.33 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 21.33 Mn |
| Jun 30, 2026 | 46.10 Mn |
| Mar 31, 2026 | 91.38 Mn |
| Dec 31, 2025 | 93.68 Mn |
| Sep 30, 2025 | 63.75 Mn |
| Jun 30, 2025 | 73.08 Mn |
| Mar 31, 2025 | 109.97 Mn |
| Dec 31, 2024 | 135.57 Mn |
| Sep 30, 2024 | 94.34 Mn |
| Jun 30, 2024 | 89.90 Mn |
| Mar 31, 2024 | 88.63 Mn |
| Dec 31, 2023 | 103.84 Mn |
| Sep 30, 2023 | 98.23 Mn |
| Jun 30, 2023 | 88.92 Mn |
| Mar 31, 2023 | 88.69 Mn |
| Dec 31, 2022 | 102.48 Mn |
| Sep 30, 2022 | 107.25 Mn |
| Jun 30, 2022 | 112.28 Mn |
| Mar 31, 2022 | 107.90 Mn |
| Dec 31, 2021 | 113.93 Mn |
Organogenesis Holdings Cash & Equivalents 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=cash-and-equivalents&ticker=ORGO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "ticker": "ORGO", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=cash-and-equivalents&ticker=ORGO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();