Glaukos (GKOS) Receivables (2014 - 2026)
Glaukos (GKOS) posted Receivables of $138.9 million for Q2 2026, up 67.4% from $82.99 million a year earlier and up 16.0% from the prior quarter.
Powered by 
Analysis
Glaukos (GKOS) Receivables (2014 - 2026) Analysis & Trends
At the end of FY2025, Glaukos' Receivables came in at $108.61 million, up 78.8% from FY2024.
- Annual Receivables has increased for four consecutive years, with a five-year compound annual growth rate of 24.7% (FY2020 to FY2025).
- In prior years, Glaukos' Receivables was $60.74 million in FY2024 (+52.4%), $39.85 million in FY2023 (+10.5%), $36.07 million in FY2022 (+7.9%) and $33.44 million in FY2021 (-7.3%).
- The Q2 2026 figure stands as the highest quarterly Receivables in data going back to Q4 2014.
- On a year-over-year basis, Receivables has increased in each of the last 15 quarters, with growth averaging 62.5% over the last eight quarters.
- The strongest year-over-year quarter for Receivables in the past five years was Q4 2025, with growth of 78.8%; the weakest was Q4 2021, with a decline of 7.3%.
- According to Business Quant data, Receivables for the three prior quarters was $119.69 million (Q1 2026), $108.61 million (Q4 2025) and $98.68 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.84 Bn | 229.99 Bn | 4.88 Bn | 11.14 Bn |
| 2 | Abbott Laboratories | 174.73 Bn | 145.82 Bn | 7.27 Bn | 8.60 Bn |
| 3 | Danaher | 159.85 Bn | 143.67 Bn | 3.61 Bn | 3.97 Bn |
| 4 | Intuitive Surgical | 146.79 Bn | 126.35 Bn | 1.96 Bn | 1.67 Bn |
| 5 | Medtronic | 114.54 Bn | 80.41 Bn | 6.34 Bn | 6.36 Bn |
| 6 | Stryker | 105.67 Bn | 91.79 Bn | 4.50 Bn | 3.74 Bn |
| 7 | Boston Scientific | 63.93 Bn | 58.94 Bn | 3.85 Bn | 3.05 Bn |
| 8 | Becton Dickinson | 50.12 Bn | 47.27 Bn | 2.32 Bn | 2.36 Bn |
| 9 | Edwards Lifesciences | 50.06 Bn | 34.17 Bn | 1.35 Bn | 955.70 Mn |
| 10 | Glaukos | 9.33 Bn | 8.92 Bn | 151.59 Mn | 138.90 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 138.90 Mn |
| Mar 31, 2026 | 119.69 Mn |
| Dec 31, 2025 | 108.61 Mn |
| Sep 30, 2025 | 98.68 Mn |
| Jun 30, 2025 | 82.99 Mn |
| Mar 31, 2025 | 71.53 Mn |
| Dec 31, 2024 | 60.74 Mn |
| Sep 30, 2024 | 56.41 Mn |
| Jun 30, 2024 | 51.22 Mn |
| Mar 31, 2024 | 46.55 Mn |
| Dec 31, 2023 | 39.85 Mn |
| Sep 30, 2023 | 39.33 Mn |
| Jun 30, 2023 | 39.25 Mn |
| Mar 31, 2023 | 37.85 Mn |
| Dec 31, 2022 | 36.07 Mn |
| Sep 30, 2022 | 34.77 Mn |
| Jun 30, 2022 | 36.03 Mn |
| Mar 31, 2022 | 34.80 Mn |
| Dec 31, 2021 | 33.44 Mn |
| Sep 30, 2021 | 35.24 Mn |
API Access
Glaukos 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=GKOS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "ticker": "GKOS", "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=GKOS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();