Fractyl Health (GUTS) Debt Ratio (2023 - 2026)
Fractyl Health's (GUTS) Debt Ratio stood at 0.37 in Q2 2026, down 23.2% from 0.48 a year earlier but up 22.5% from the prior quarter.
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Analysis
Fractyl Health (GUTS) Debt Ratio (2023 - 2026) Analysis & Trends
For FY2025, Fractyl Health's Debt Ratio came in at 0.25, down 9.7% from FY2024.
- Across earlier years, Debt Ratio came in at 0.28 in FY2024 (-61.4%) and 0.72 in FY2023.
- Quarterly Debt Ratio has ranged from 0.18 in Q1 2024 to 0.72 in Q4 2023 over the past five years.
- On a year-over-year basis, Debt Ratio has declined for three consecutive quarters, with growth averaging 22.2% over the last seven quarters.
- Per Business Quant, the preceding three quarters came in at 0.30 (Q1 2026), 0.25 (Q4 2025) and 0.27 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Debt Ratio (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.30 Bn | 230.45 Bn | 4.88 Bn | 0.38 |
| 2 | Abbott Laboratories | 174.70 Bn | 145.78 Bn | 7.27 Bn | 0.30 |
| 3 | Danaher | 158.94 Bn | 142.76 Bn | 3.61 Bn | 0.29 |
| 4 | Intuitive Surgical | 145.87 Bn | 125.42 Bn | 1.96 Bn | - |
| 5 | Medtronic | 111.49 Bn | 77.36 Bn | 6.34 Bn | 0.30 |
| 6 | Stryker | 106.96 Bn | 93.08 Bn | 4.50 Bn | 0.31 |
| 7 | Boston Scientific | 63.62 Bn | 58.63 Bn | 3.85 Bn | 0.28 |
| 8 | Edwards Lifesciences | 50.80 Bn | 34.92 Bn | 1.35 Bn | 0.04 |
| 9 | Becton Dickinson | 49.59 Bn | 46.74 Bn | 2.32 Bn | 0.33 |
| 10 | Fractyl Health | 82.50 Mn | 82.50 Mn | - | 0.37 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 0.37 |
| Mar 31, 2026 | 0.30 |
| Dec 31, 2025 | 0.25 |
| Sep 30, 2025 | 0.27 |
| Jun 30, 2025 | 0.48 |
| Mar 31, 2025 | 0.35 |
| Dec 31, 2024 | 0.28 |
| Sep 30, 2024 | 0.24 |
| Jun 30, 2024 | 0.19 |
| Mar 31, 2024 | 0.18 |
| Dec 31, 2023 | 0.72 |
API Access
Fractyl Health Debt Ratio 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=debt-ratio&ticker=GUTS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "debt-ratio", "ticker": "GUTS", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=debt-ratio&ticker=GUTS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();