Neuronetics (STIM) Receivables (2017 - 2026)
Neuronetics' Receivables came in at $15.96 million for Q2 2026, down 38.9% from $26.12 million a year earlier but up 0.9% from the prior quarter.
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Analysis
Neuronetics (STIM) Receivables (2017 - 2026) Analysis & Trends
At the end of FY2025, Neuronetics' Receivables was $16.47 million, down 29.5% from FY2024.
- Receivables carries a five-year compound annual growth rate of 18.1% (FY2020 to FY2025).
- Going back by year, Receivables was $23.36 million in FY2024 (+48.0%), $15.78 million in FY2023 (+16.1%), $13.59 million in FY2022 (+76.4%) and $7.71 million in FY2021 (+7.5%).
- The five-year range for quarterly Receivables is $7.71 million (Q4 2021) to $26.2 million (Q1 2025).
- Year-over-year, Receivables has declined for three consecutive quarters, with growth averaging 8.1% over the last eight quarters.
- The fastest year-over-year change in Receivables over five years came in Q1 2024 (growth of 85.2%), and the weakest in Q1 2026 (a decline of 39.7%).
- Business Quant data shows STIM's Receivables at $15.81 million (Q1 2026), $16.47 million (Q4 2025) and $18.69 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.30 Bn | 230.45 Bn | 4.88 Bn | 11.14 Bn |
| 2 | Abbott Laboratories | 174.70 Bn | 145.78 Bn | 7.27 Bn | 8.60 Bn |
| 3 | Danaher | 158.94 Bn | 142.76 Bn | 3.61 Bn | 3.97 Bn |
| 4 | Intuitive Surgical | 145.87 Bn | 125.42 Bn | 1.96 Bn | 1.67 Bn |
| 5 | Medtronic | 111.49 Bn | 77.36 Bn | 6.34 Bn | 6.36 Bn |
| 6 | Stryker | 106.96 Bn | 93.08 Bn | 4.50 Bn | 3.74 Bn |
| 7 | Boston Scientific | 63.62 Bn | 58.63 Bn | 3.85 Bn | 3.05 Bn |
| 8 | Edwards Lifesciences | 50.80 Bn | 34.92 Bn | 1.35 Bn | 955.70 Mn |
| 9 | Becton Dickinson | 49.59 Bn | 46.74 Bn | 2.32 Bn | 2.36 Bn |
| 10 | Neuronetics | 179.82 Mn | 95.06 Mn | 21.22 Mn | 15.96 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 15.96 Mn |
| Mar 31, 2026 | 15.81 Mn |
| Dec 31, 2025 | 16.47 Mn |
| Sep 30, 2025 | 18.69 Mn |
| Jun 30, 2025 | 26.12 Mn |
| Mar 31, 2025 | 26.20 Mn |
| Dec 31, 2024 | 23.36 Mn |
| Sep 30, 2024 | 16.83 Mn |
| Jun 30, 2024 | 17.14 Mn |
| Mar 31, 2024 | 17.50 Mn |
| Dec 31, 2023 | 15.78 Mn |
| Sep 30, 2023 | 15.02 Mn |
| Jun 30, 2023 | 13.15 Mn |
| Mar 31, 2023 | 9.45 Mn |
| Dec 31, 2022 | 13.59 Mn |
| Sep 30, 2022 | 11.96 Mn |
| Jun 30, 2022 | 11.39 Mn |
| Mar 31, 2022 | 8.25 Mn |
| Dec 31, 2021 | 7.71 Mn |
| Sep 30, 2021 | 7.75 Mn |
API Access
Neuronetics Receivables 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=receivables&ticker=STIM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "ticker": "STIM", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=receivables&ticker=STIM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();