Insulet (PODD) Total Current Liabilities (2010 - 2026)
Insulet (PODD) posted Total Current Liabilities of $744.2 million for Q2 2026, down 26.3% from $1.01 billion a year earlier but up 8.2% from the prior quarter.
Insulet (PODD) Total Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Insulet's Total Current Liabilities came in at $680.1 million, up 28.7% from FY2024.
- Annual Total Current Liabilities has increased for nine consecutive years, with a five-year compound annual growth rate of 26.8% (FY2020 to FY2025).
- In prior years, Insulet's Total Current Liabilities was $528.4 million in FY2024 (+17.1%), $451.2 million in FY2023 (+23.7%), $364.7 million in FY2022 (+59.4%) and $228.8 million in FY2021 (+10.1%).
- Quarterly Total Current Liabilities has run from a low of $215 million in Q1 2022 to a high of $1.01 billion in Q2 2025 over five years.
- On a year-over-year basis, Total Current Liabilities increased in seven of the last eight quarters, with growth averaging 27.5%.
- The strongest year-over-year quarter for Total Current Liabilities in the past five years was Q2 2025, with growth of 107.8%; the weakest was Q2 2026, with a decline of 26.3%.
- According to Business Quant data, Total Current Liabilities for the three prior quarters was $687.5 million (Q1 2026), $680.1 million (Q4 2025) and $647.7 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 257.99 Bn | 237.02 Bn | 4.88 Bn | 15.07 Bn |
| 2 | Abbott Laboratories | 175.01 Bn | 145.44 Bn | 7.27 Bn | 17.81 Bn |
| 3 | Danaher | 164.93 Bn | 148.74 Bn | 3.61 Bn | 8.11 Bn |
| 4 | Intuitive Surgical | 151.84 Bn | 131.26 Bn | 1.96 Bn | 1.92 Bn |
| 5 | Medtronic | 119.05 Bn | 84.30 Bn | 6.34 Bn | 11.80 Bn |
| 6 | Stryker | 113.89 Bn | 100.00 Bn | 4.50 Bn | 6.68 Bn |
| 7 | Boston Scientific | 65.37 Bn | 60.13 Bn | 3.85 Bn | 6.43 Bn |
| 8 | Becton Dickinson | 53.36 Bn | 50.51 Bn | 2.32 Bn | 9.40 Bn |
| 9 | Edwards Lifesciences | 50.83 Bn | 34.83 Bn | 1.35 Bn | 1.51 Bn |
| 10 | Insulet | 9.83 Bn | 7.34 Bn | 562.60 Mn | 744.20 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 744.20 Mn |
| Mar 31, 2026 | 687.50 Mn |
| Dec 31, 2025 | 680.10 Mn |
| Sep 30, 2025 | 647.70 Mn |
| Jun 30, 2025 | 1.01 Bn |
| Mar 31, 2025 | 520.40 Mn |
| Dec 31, 2024 | 528.40 Mn |
| Sep 30, 2024 | 506.20 Mn |
| Jun 30, 2024 | 486.00 Mn |
| Mar 31, 2024 | 432.40 Mn |
| Dec 31, 2023 | 451.20 Mn |
| Sep 30, 2023 | 451.40 Mn |
| Jun 30, 2023 | 425.00 Mn |
| Mar 31, 2023 | 383.30 Mn |
| Dec 31, 2022 | 364.70 Mn |
| Sep 30, 2022 | 334.20 Mn |
| Jun 30, 2022 | 279.30 Mn |
| Mar 31, 2022 | 215.00 Mn |
| Dec 31, 2021 | 228.80 Mn |
| Sep 30, 2021 | 228.60 Mn |
Insulet Total Current Liabilities 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=total-current-liabilities&ticker=PODD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-liabilities", "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=total-current-liabilities&ticker=PODD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();