Pulmatrix (PULM) Debt Ratio (2014 - 2018)
Pulmatrix's (PULM) Debt Ratio stood at 0.18 in Q1 2018, down 19.1% from 0.23 a year earlier and down 8.8% from the prior quarter.
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Analysis
Pulmatrix (PULM) Debt Ratio (2014 - 2018) Analysis & Trends
For FY2017, Pulmatrix's Debt Ratio came in at 0.20, down 42.1% from FY2016.
- Across earlier years, Debt Ratio came in at 0.35 in FY2016 (+132.5%), 0.15 in FY2015 (-99.4%) and 25.60 in FY2014.
- The Q1 2018 figure is the lowest quarterly Debt Ratio since Q1 2016.
- On a year-over-year basis, Debt Ratio has declined for four consecutive quarters, with growth averaging 11.5% over the last six quarters.
- Per Business Quant, the preceding three quarters came in at 0.20 (Q4 2017), 0.20 (Q3 2017) and 0.19 (Q2 2017).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Debt Ratio (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 0.24 |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | 0.52 |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | 0.42 |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | 0.31 |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | 0.00 |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 0.60 |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | 0.53 |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | 0.31 |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | - |
| 10 | Pulmatrix | 5.55 Mn | 5.55 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2018 | 0.18 |
| Dec 31, 2017 | 0.20 |
| Sep 30, 2017 | 0.20 |
| Jun 30, 2017 | 0.19 |
| Mar 31, 2017 | 0.23 |
| Dec 31, 2016 | 0.35 |
| Sep 30, 2016 | 0.25 |
| Jun 30, 2016 | 0.24 |
| Mar 31, 2016 | 0.17 |
| Dec 31, 2015 | 0.15 |
| Sep 30, 2015 | 0.14 |
| Jun 30, 2015 | 0.13 |
| Dec 31, 2014 | 25.60 |
API Access
Pulmatrix 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=PULM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "debt-ratio", "ticker": "PULM", "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=PULM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();