Progyny (PGNY) Total Liabilities (2018 - 2026)
Progyny's Total Liabilities was $262.58 million in Q2 2026, up 6.8% from $245.93 million a year earlier and up 1.4% from the prior quarter.
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Analysis
Progyny (PGNY) Total Liabilities (2018 - 2026) Analysis & Trends
At the end of FY2025, Total Liabilities at Progyny came in at $226.39 million, up 22.3% from FY2024.
- Total Liabilities shows a five-year compound annual growth rate of 21.1% (FY2020 to FY2025).
- In earlier years, Total Liabilities was $185.04 million in FY2024 (-8.9%), $203.19 million in FY2023 (+22.4%), $166.02 million in FY2022 (+56.3%) and $106.24 million in FY2021 (+22.1%).
- The Q2 2026 figure marks the highest quarterly Total Liabilities since Q1 2025.
- Compared with a year earlier, Total Liabilities was higher in six of the last eight quarters, with growth averaging 6.2%.
- The best year-over-year quarter for Total Liabilities over five years was Q1 2023 (growth of 65.8%); the worst was Q4 2024 (a decline of 8.9%).
- Per Business Quant data, PGNY's Total Liabilities in the three quarters before Q2 2026 was $258.99 million (Q1 2026), $226.39 million (Q4 2025) and $235.22 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | HCA Healthcare | 100.51 Bn | 96.52 Bn | - | 69.89 Bn |
| 2 | Natera | 57.27 Bn | 52.95 Bn | 485.19 Mn | 836.00 Mn |
| 3 | Quest Diagnostics | 26.09 Bn | 24.22 Bn | 1.03 Bn | 9.12 Bn |
| 4 | Labcorp Holdings | 26.08 Bn | 23.83 Bn | 1.11 Bn | 9.93 Bn |
| 5 | Tenet Healthcare | 22.29 Bn | 11.30 Bn | - | 24.12 Bn |
| 6 | Guardant Health | 21.03 Bn | 17.09 Bn | 219.03 Mn | 2.14 Bn |
| 7 | Fresenius Medical Care AG | 12.78 Bn | 4.73 Bn | 1.52 Bn | 20.29 Bn |
| 8 | BrightSpring Health Services | 12.65 Bn | 10.98 Bn | 492.75 Mn | 3.94 Bn |
| 9 | Davita | 12.13 Bn | 9.34 Bn | 1.16 Bn | 18.47 Bn |
| 10 | Progyny | 2.18 Bn | 1.06 Bn | 89.30 Mn | 262.58 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 262.58 Mn |
| Mar 31, 2026 | 258.99 Mn |
| Dec 31, 2025 | 226.39 Mn |
| Sep 30, 2025 | 235.22 Mn |
| Jun 30, 2025 | 245.93 Mn |
| Mar 31, 2025 | 263.13 Mn |
| Dec 31, 2024 | 185.04 Mn |
| Sep 30, 2024 | 225.10 Mn |
| Jun 30, 2024 | 242.44 Mn |
| Mar 31, 2024 | 222.70 Mn |
| Dec 31, 2023 | 203.19 Mn |
| Sep 30, 2023 | 211.12 Mn |
| Jun 30, 2023 | 212.04 Mn |
| Mar 31, 2023 | 225.32 Mn |
| Dec 31, 2022 | 166.02 Mn |
| Sep 30, 2022 | 163.59 Mn |
| Jun 30, 2022 | 151.85 Mn |
| Mar 31, 2022 | 135.91 Mn |
| Dec 31, 2021 | 106.24 Mn |
| Sep 30, 2021 | 112.57 Mn |
API Access
Progyny 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=PGNY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "PGNY", "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=PGNY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();