Insulet (PODD) EBITDA (2010 - 2026)
Insulet (PODD) reported EBITDA of $156.4 million for Q2 2026, up 9.1% from $143.4 million a year earlier and up 5.5% from the prior quarter.
Powered by 
Analysis
Insulet (PODD) EBITDA (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Insulet's EBITDA came in at $615.1 million, up 24.5% year-over-year; for FY2025, it was $564.2 million, up 44.8% from FY2024.
- EBITDA has increased for three consecutive years, with a five-year compound annual growth rate of 39.5% (FY2020 to FY2025).
- By year, EBITDA came in at $389.7 million in FY2024 (+33.0%), $292.9 million in FY2023 (+190.6%), $100.8 million in FY2022 (-45.0%) and $183.4 million in FY2021 (+71.6%).
- Five-year quarterly EBITDA spans a low of -$10.9 million in Q2 2022 and a high of $170.7 million in Q4 2025.
- Year over year, EBITDA has now increased in each of the last 12 quarters, with growth averaging 36.9% over the last eight quarters.
- The high point for year-over-year EBITDA in five years was Q3 2023 (growth of 291.0%); the low point was Q3 2022 (a decline of 61.0%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $148.3 million (Q1 2026), $170.7 million (Q4 2025) and $139.7 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 265.71 Bn | 242.23 Bn | 5.13 Bn | 3.09 Bn |
| 2 | Abbott Laboratories | 189.37 Bn | 163.23 Bn | 7.39 Bn | 2.61 Bn |
| 3 | Danaher | 164.78 Bn | 144.43 Bn | 3.84 Bn | 1.97 Bn |
| 4 | Intuitive Surgical | 157.85 Bn | 138.13 Bn | 2.08 Bn | 789.70 Mn |
| 5 | Medtronic | 129.66 Bn | 94.91 Bn | 6.34 Bn | 2.49 Bn |
| 6 | Stryker | 121.82 Bn | 108.01 Bn | 4.25 Bn | 1.33 Bn |
| 7 | Boston Scientific | 63.42 Bn | 58.86 Bn | 3.43 Bn | 1.19 Bn |
| 8 | Edwards Lifesciences | 59.49 Bn | 42.69 Bn | 1.35 Bn | 344.00 Mn |
| 9 | Becton Dickinson | 58.38 Bn | 55.53 Bn | 2.32 Bn | 1.23 Bn |
| 10 | Insulet | 10.29 Bn | 7.98 Bn | 632.10 Mn | 218.70 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 218.70 Mn |
| Jun 30, 2026 | 157.10 Mn |
| Mar 31, 2026 | 149.00 Mn |
| Dec 31, 2025 | 171.50 Mn |
| Sep 30, 2025 | 140.50 Mn |
| Jun 30, 2025 | 145.50 Mn |
| Mar 31, 2025 | 113.00 Mn |
| Dec 31, 2024 | 132.70 Mn |
| Sep 30, 2024 | 111.00 Mn |
| Jun 30, 2024 | 75.50 Mn |
| Mar 31, 2024 | 77.70 Mn |
| Dec 31, 2023 | 127.40 Mn |
| Sep 30, 2023 | 75.10 Mn |
| Jun 30, 2023 | 50.40 Mn |
| Mar 31, 2023 | 46.40 Mn |
| Dec 31, 2022 | 41.20 Mn |
| Sep 30, 2022 | 19.90 Mn |
| Jun 30, 2022 | -9.90 Mn |
| Mar 31, 2022 | 54.70 Mn |
| Dec 31, 2021 | 72.90 Mn |
API Access
Insulet EBITDA 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=ebitda&ticker=PODD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=PODD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();