Insulet (PODD) Research & Development (2010 - 2026)
Insulet's Research & Development was $88.1 million in Q2 2026, up 20.0% from $73.4 million a year earlier but down 1.8% from the prior quarter.
Insulet (PODD) Research & Development (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Insulet's Research & Development was $345.9 million through Jun 30, 2026, up 39.2% year-over-year; for FY2025, it was $301.1 million, up 37.1% from FY2024.
- Research & Development has now increased for 12 consecutive years, with a five-year compound annual growth rate of 15.5% (FY2020 to FY2025).
- In earlier years, Research & Development was $219.6 million in FY2024 (+7.1%), $205 million in FY2023 (+13.8%), $180.2 million in FY2022 (+12.6%) and $160.1 million in FY2021 (+9.1%).
- Quarterly Research & Development has moved between $37.5 million (Q3 2021) and $90.9 million (Q4 2025) over five years.
- Compared with a year earlier, Research & Development has increased for seven straight quarters, with growth averaging 31.9% over the last eight quarters.
- The best year-over-year quarter for Research & Development over five years was Q1 2026 (growth of 50.5%); the worst was Q4 2023 (a decline of 15.2%).
- Per Business Quant data, PODD's Research & Development in the three quarters before Q2 2026 was $89.7 million (Q1 2026), $90.9 million (Q4 2025) and $77.2 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | R&D (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.30 Bn | 230.45 Bn | 4.88 Bn | 364.00 Mn |
| 2 | Abbott Laboratories | 174.70 Bn | 145.78 Bn | 7.27 Bn | 892.00 Mn |
| 3 | Danaher | 158.94 Bn | 142.76 Bn | 3.61 Bn | 412.00 Mn |
| 4 | Intuitive Surgical | 145.87 Bn | 125.42 Bn | 1.96 Bn | 370.60 Mn |
| 5 | Medtronic | 111.49 Bn | 77.36 Bn | 6.34 Bn | 771.00 Mn |
| 6 | Stryker | 106.96 Bn | 93.08 Bn | 4.50 Bn | 434.00 Mn |
| 7 | Boston Scientific | 63.62 Bn | 58.63 Bn | 3.85 Bn | 554.00 Mn |
| 8 | Edwards Lifesciences | 50.80 Bn | 34.92 Bn | 1.35 Bn | 278.90 Mn |
| 9 | Becton Dickinson | 49.59 Bn | 46.74 Bn | 2.32 Bn | 258.00 Mn |
| 10 | Insulet | 9.21 Bn | 6.72 Bn | 562.60 Mn | 88.10 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 88.10 Mn |
| Mar 31, 2026 | 89.70 Mn |
| Dec 31, 2025 | 90.90 Mn |
| Sep 30, 2025 | 77.20 Mn |
| Jun 30, 2025 | 73.40 Mn |
| Mar 31, 2025 | 59.60 Mn |
| Dec 31, 2024 | 60.60 Mn |
| Sep 30, 2024 | 54.90 Mn |
| Jun 30, 2024 | 53.90 Mn |
| Mar 31, 2024 | 50.20 Mn |
| Dec 31, 2023 | 42.00 Mn |
| Sep 30, 2023 | 57.80 Mn |
| Jun 30, 2023 | 55.10 Mn |
| Mar 31, 2023 | 50.10 Mn |
| Dec 31, 2022 | 49.50 Mn |
| Sep 30, 2022 | 45.00 Mn |
| Jun 30, 2022 | 42.60 Mn |
| Mar 31, 2022 | 43.10 Mn |
| Dec 31, 2021 | 41.80 Mn |
| Sep 30, 2021 | 37.50 Mn |
Insulet Research & Development 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=research-and-development&ticker=PODD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "research-and-development", "ticker": "PODD", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=research-and-development&ticker=PODD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();