Pulmatrix (PULM) Short term Debt (2015 - 2018)
Pulmatrix's Short term Debt came in at $2.52 million for Q1 2018, down 5.1% from $2.66 million a year earlier and down 21.6% from the prior quarter.
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Analysis
Pulmatrix (PULM) Short term Debt (2015 - 2018) Analysis & Trends
At the end of FY2017, Pulmatrix's Short term Debt was $3.22 million, up 24.6% from FY2016.
- Going back by year, Short term Debt was $2.59 million in FY2016 (+151.3%) and $1.03 million in FY2015.
- The Q1 2018 figure represents the lowest quarterly Short term Debt since Q3 2016.
- Year-over-year, Short term Debt increased in five of the last six quarters, with growth averaging 51.2%.
- Business Quant data shows PULM's Short term Debt at $3.22 million (Q4 2017), $3.9 million (Q3 2017) and $2.75 million (Q2 2017) in the three quarters before Q1 2018.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn |
| 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 | 2.52 Mn |
| Dec 31, 2017 | 3.22 Mn |
| Sep 30, 2017 | 3.90 Mn |
| Jun 30, 2017 | 2.75 Mn |
| Mar 31, 2017 | 2.66 Mn |
| Dec 31, 2016 | 2.59 Mn |
| Sep 30, 2016 | 2.51 Mn |
| Jun 30, 2016 | 2.23 Mn |
| Mar 31, 2016 | 1.68 Mn |
| Dec 31, 2015 | 1.03 Mn |
| Sep 30, 2015 | 413,000.00 |
API Access
Pulmatrix Short term Debt 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=short-term-debt&ticker=PULM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "short-term-debt", "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=short-term-debt&ticker=PULM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();