Insulet (PODD) Operating Expenses (2010 - 2026)
Insulet (PODD) posted Operating Expenses of $432.9 million for Q2 2026, up 30.7% from $331.1 million a year earlier and up 6.4% from the prior quarter.
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Analysis
Insulet (PODD) Operating Expenses (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at Insulet was $1.65 billion, up 31.1% year-over-year; for FY2025, it was $1.47 billion, up 29.0% from FY2024.
- Annual Operating Expenses has increased for 11 consecutive years, with a five-year compound annual growth rate of 22.5% (FY2020 to FY2025).
- In prior years, Insulet's Operating Expenses was $1.14 billion in FY2024 (+21.0%), $939.8 million in FY2023 (+22.4%), $768 million in FY2022 (+22.7%) and $626.1 million in FY2021 (+18.0%).
- The Q2 2026 figure stands as the highest quarterly Operating Expenses in data going back to Q2 2010.
- On a year-over-year basis, Operating Expenses has increased in each of the last 19 quarters, with growth averaging 27.5% over the last eight quarters.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q2 2022, with growth of 441.1%; the weakest was Q3 2021, with a decline of 3.4%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $406.9 million (Q1 2026), $422.3 million (Q4 2025) and $392.4 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 265.71 Bn | 242.23 Bn | 5.13 Bn | 9.87 Bn |
| 2 | Abbott Laboratories | 189.37 Bn | 163.23 Bn | 7.39 Bn | 11.66 Bn |
| 3 | Danaher | 164.78 Bn | 144.43 Bn | 3.84 Bn | 2.59 Bn |
| 4 | Intuitive Surgical | 157.85 Bn | 138.13 Bn | 2.08 Bn | 1.49 Bn |
| 5 | Medtronic | 129.66 Bn | 94.91 Bn | 6.34 Bn | 4.06 Bn |
| 6 | Stryker | 121.82 Bn | 108.01 Bn | 4.25 Bn | 3.21 Bn |
| 7 | Boston Scientific | 63.42 Bn | 58.86 Bn | 3.43 Bn | 2.60 Bn |
| 8 | Edwards Lifesciences | 59.49 Bn | 42.69 Bn | 1.35 Bn | 844.30 Mn |
| 9 | Becton Dickinson | 58.38 Bn | 55.53 Bn | 2.32 Bn | 4.32 Bn |
| 10 | Insulet | 10.29 Bn | 7.98 Bn | 632.10 Mn | 442.30 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 442.30 Mn |
| Jun 30, 2026 | 432.90 Mn |
| Mar 31, 2026 | 406.90 Mn |
| Dec 31, 2025 | 422.30 Mn |
| Sep 30, 2025 | 392.40 Mn |
| Jun 30, 2025 | 331.10 Mn |
| Mar 31, 2025 | 320.30 Mn |
| Dec 31, 2024 | 321.50 Mn |
| Sep 30, 2024 | 289.00 Mn |
| Jun 30, 2024 | 276.40 Mn |
| Mar 31, 2024 | 249.90 Mn |
| Dec 31, 2023 | 254.70 Mn |
| Sep 30, 2023 | 238.50 Mn |
| Jun 30, 2023 | 233.80 Mn |
| Mar 31, 2023 | 212.80 Mn |
| Dec 31, 2022 | 193.80 Mn |
| Sep 30, 2022 | 185.40 Mn |
| Jun 30, 2022 | 217.00 Mn |
| Mar 31, 2022 | 171.80 Mn |
| Dec 31, 2021 | 41.80 Mn |
API Access
Insulet Operating Expenses 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=operating-expenses&ticker=PODD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=PODD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();