Pulmatrix (PULM) Total Liabilities (2014 - 2026)
Pulmatrix's Total Liabilities came in at $689,000 for Q2 2026, up 25.7% from $548,000 a year earlier but down 23.9% from the prior quarter.
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Analysis
Pulmatrix (PULM) Total Liabilities (2014 - 2026) Analysis & Trends
At the end of FY2025, Pulmatrix's Total Liabilities was $329,000, down 67.0% from FY2024.
- Total Liabilities carries a five-year compound annual growth rate of -53.4% (FY2020 to FY2025).
- Going back by year, Total Liabilities was $996,000 in FY2024 (-93.8%), $15.96 million in FY2023 (+62.2%), $9.84 million in FY2022 (-13.4%) and $11.37 million in FY2021 (-24.0%).
- The five-year range for quarterly Total Liabilities is $249,000 (Q3 2025) to $16.89 million (Q3 2023).
- Year-over-year, Total Liabilities increased in two of the last eight quarters, with an average decline of 57.4%.
- The fastest year-over-year change in Total Liabilities over five years came in Q4 2023 (growth of 62.2%), and the weakest in Q3 2024 (a decline of 96.5%).
- Business Quant data shows PULM's Total Liabilities at $905,000 (Q1 2026), $329,000 (Q4 2025) and $249,000 (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,137.26 Bn | 1,105.84 Bn | 19.71 Bn | 108.40 Bn |
| 2 | Johnson & Johnson | 618.12 Bn | 536.65 Bn | 17.26 Bn | 116.09 Bn |
| 3 | AbbVie | 503.25 Bn | 476.36 Bn | 12.70 Bn | 141.05 Bn |
| 4 | Merck | 368.28 Bn | 322.66 Bn | 12.21 Bn | 87.82 Bn |
| 5 | Novartis Ag | 298.45 Bn | 262.44 Bn | 11.24 Bn | 80.09 Bn |
| 6 | Astrazeneca | 261.39 Bn | 235.08 Bn | 12.86 Bn | 65.46 Bn |
| 7 | Amgen | 237.30 Bn | 192.70 Bn | 7.24 Bn | 83.95 Bn |
| 8 | Gilead Sciences | 191.35 Bn | 165.55 Bn | 6.22 Bn | 37.53 Bn |
| 9 | Pfizer | 169.92 Bn | 116.56 Bn | 10.94 Bn | 115.64 Bn |
| 10 | Pulmatrix | 5.47 Mn | -8.93 Mn | - | 689,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 689,000.00 |
| Mar 31, 2026 | 905,000.00 |
| Dec 31, 2025 | 329,000.00 |
| Sep 30, 2025 | 249,000.00 |
| Jun 30, 2025 | 548,000.00 |
| Mar 31, 2025 | 904,000.00 |
| Dec 31, 2024 | 996,000.00 |
| Sep 30, 2024 | 590,000.00 |
| Jun 30, 2024 | 2.47 Mn |
| Mar 31, 2024 | 11.37 Mn |
| Dec 31, 2023 | 15.96 Mn |
| Sep 30, 2023 | 16.89 Mn |
| Jun 30, 2023 | 7.94 Mn |
| Mar 31, 2023 | 9.05 Mn |
| Dec 31, 2022 | 9.84 Mn |
| Sep 30, 2022 | 11.40 Mn |
| Jun 30, 2022 | 10.96 Mn |
| Mar 31, 2022 | 11.55 Mn |
| Dec 31, 2021 | 11.37 Mn |
| Sep 30, 2021 | 10.56 Mn |
API Access
Pulmatrix Total Liabilities 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=total-liabilities&ticker=PULM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=PULM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();