PolyPid (PYPD) Accumulated Expenses (2020 - 2026)
PolyPid (PYPD) recorded Accumulated Expenses of $3.65 million in Q2 2026, up 23.1% from $2.97 million a year earlier and up 2.8% from the prior quarter.
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Analysis
PolyPid (PYPD) Accumulated Expenses (2020 - 2026) Analysis & Trends
At the end of FY2025, PolyPid reported Accumulated Expenses of $2.73 million, up 6.5% from FY2024.
- Annual Accumulated Expenses has a five-year compound annual growth rate of 7.5% (FY2020 to FY2025).
- Across earlier years, Accumulated Expenses came in at $2.57 million in FY2024 (+30.2%), $1.97 million in FY2023 (-18.9%), $2.43 million in FY2022 (-38.4%) and $3.94 million in FY2021 (+107.0%).
- The Q2 2026 figure is the highest quarterly Accumulated Expenses since Q2 2022.
- On a year-over-year basis, Accumulated Expenses has increased for three consecutive quarters, with growth averaging 13.7% over the last eight quarters.
- Peak year-over-year performance for Accumulated Expenses in the last five years was growth of 107.0% in Q4 2021, against a decline of 56.7% in Q1 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $3.55 million (Q1 2026), $2.73 million (Q4 2025) and $2.21 million (Q3 2025).
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 | PolyPid | 95.94 Mn | 46.74 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.65 Mn |
| Mar 31, 2026 | 3.55 Mn |
| Dec 31, 2025 | 2.73 Mn |
| Sep 30, 2025 | 2.21 Mn |
| Jun 30, 2025 | 2.97 Mn |
| Mar 31, 2025 | 2.97 Mn |
| Dec 31, 2024 | 2.57 Mn |
| Sep 30, 2024 | 2.77 Mn |
| Jun 30, 2024 | 2.98 Mn |
| Mar 31, 2024 | 2.61 Mn |
| Dec 31, 2023 | 1.97 Mn |
| Sep 30, 2023 | 2.02 Mn |
| Jun 30, 2023 | 1.84 Mn |
| Mar 31, 2023 | 1.40 Mn |
| Dec 31, 2022 | 2.43 Mn |
| Sep 30, 2022 | 2.72 Mn |
| Jun 30, 2022 | 4.11 Mn |
| Mar 31, 2022 | 3.23 Mn |
| Dec 31, 2021 | 3.94 Mn |
| Dec 31, 2020 | 1.90 Mn |
API Access
PolyPid Accumulated Expenses 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=accumulated-expenses&ticker=PYPD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "PYPD", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=accumulated-expenses&ticker=PYPD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();