Progyny (PGNY) Total Current Liabilities (2018 - 2026)
Progyny (PGNY) reported Total Current Liabilities of $240.08 million for Q2 2026, up 8.9% from $220.42 million a year earlier and up 1.8% from the prior quarter.
Progyny (PGNY) Total Current Liabilities (2018 - 2026) Analysis & Trends
At the end of FY2025, Progyny posted Total Current Liabilities of $202.39 million, up 20.0% from FY2024.
- Total Current Liabilities has a five-year compound annual growth rate of 21.1% (FY2020 to FY2025).
- By year, Total Current Liabilities came in at $168.63 million in FY2024 (-9.3%), $185.95 million in FY2023 (+16.6%), $159.54 million in FY2022 (+61.4%) and $98.82 million in FY2021 (+27.0%).
- The Q2 2026 figure ranks as the highest quarterly Total Current Liabilities in data going back to Q4 2018.
- Year over year, Total Current Liabilities gained in five of the last eight quarters, with growth averaging 5.1%.
- The high point for year-over-year Total Current Liabilities in five years was Q4 2022 (growth of 61.4%); the low point was Q4 2024 (a decline of 9.3%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $235.74 million (Q1 2026), $202.39 million (Q4 2025) and $210.49 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | HCA Healthcare | 100.51 Bn | 96.52 Bn | - | 17.31 Bn |
| 2 | Natera | 57.27 Bn | 52.95 Bn | 485.19 Mn | 553.20 Mn |
| 3 | Quest Diagnostics | 26.09 Bn | 24.22 Bn | 1.03 Bn | 1.79 Bn |
| 4 | Labcorp Holdings | 26.08 Bn | 23.83 Bn | 1.11 Bn | 2.12 Bn |
| 5 | Tenet Healthcare | 22.29 Bn | 11.30 Bn | - | 5.57 Bn |
| 6 | Guardant Health | 21.03 Bn | 17.09 Bn | 219.03 Mn | 338.96 Mn |
| 7 | Fresenius Medical Care AG | 12.78 Bn | 4.73 Bn | 1.52 Bn | 8.20 Bn |
| 8 | BrightSpring Health Services | 12.65 Bn | 10.98 Bn | 492.75 Mn | 1.56 Bn |
| 9 | Davita | 12.13 Bn | 9.34 Bn | 1.16 Bn | 2.86 Bn |
| 10 | Progyny | 2.18 Bn | 1.06 Bn | 89.30 Mn | 240.08 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 240.08 Mn |
| Mar 31, 2026 | 235.74 Mn |
| Dec 31, 2025 | 202.39 Mn |
| Sep 30, 2025 | 210.49 Mn |
| Jun 30, 2025 | 220.42 Mn |
| Mar 31, 2025 | 237.13 Mn |
| Dec 31, 2024 | 168.63 Mn |
| Sep 30, 2024 | 208.47 Mn |
| Jun 30, 2024 | 225.38 Mn |
| Mar 31, 2024 | 205.92 Mn |
| Dec 31, 2023 | 185.95 Mn |
| Sep 30, 2023 | 193.42 Mn |
| Jun 30, 2023 | 193.90 Mn |
| Mar 31, 2023 | 206.87 Mn |
| Dec 31, 2022 | 159.54 Mn |
| Sep 30, 2022 | 156.87 Mn |
| Jun 30, 2022 | 144.90 Mn |
| Mar 31, 2022 | 128.72 Mn |
| Dec 31, 2021 | 98.82 Mn |
| Sep 30, 2021 | 104.48 Mn |
Progyny Total Current 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-current-liabilities&ticker=PGNY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-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-current-liabilities&ticker=PGNY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();