Phreesia (PHR) Total Non-Current Liabilities (2019 - 2026)
Phreesia (PHR) posted Total Non-Current Liabilities of $274.69 million for fiscal Q2 2027 (quarter ended Jul 31, 2026), up 148.4% from $110.6 million a year earlier but down 10.5% from the prior quarter.
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Analysis
Phreesia (PHR) Total Non-Current Liabilities (2019 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Phreesia's Total Non-Current Liabilities came in at $326.54 million, up 164.6% from FY2025.
- Annual Total Non-Current Liabilities has increased for three consecutive fiscal years, with a three-year compound annual growth rate of 58.4% (FY2023 to FY2026).
- In prior fiscal years, Phreesia's Total Non-Current Liabilities was $123.42 million in FY2025 (+6.4%), $116.02 million in FY2024 (+41.1%) and $82.24 million in FY2023.
- Quarterly Total Non-Current Liabilities has run from a low of $82.24 million in fiscal Q4 2023 to a high of $326.54 million in fiscal Q4 2026 over five years.
- On a year-over-year basis, Total Non-Current Liabilities has increased in each of the last three quarters, with growth averaging 59.9% over the last eight quarters.
- The strongest year-over-year quarter for Total Non-Current Liabilities in the past five years was fiscal Q4 2026, with growth of 164.6%; the weakest was fiscal Q3 2026, with a decline of 14.8%.
- According to Business Quant data, Total Non-Current Liabilities for the three prior fiscal quarters was $306.98 million (Q1 2027), $326.54 million (Q4 2026) and $103.1 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 51.55 Bn | 23.79 Bn | 695.95 Mn | 1.60 Bn |
| 3 | Samsara | 24.79 Bn | 21.56 Bn | 392.58 Mn | 1.15 Bn |
| 4 | Ptc | 22.17 Bn | 20.99 Bn | 490.47 Mn | 2.94 Bn |
| 5 | Toast | 18.88 Bn | 11.55 Bn | 516.00 Mn | 1.10 Bn |
| 6 | Trimble | 14.47 Bn | 13.54 Bn | 674.90 Mn | 3.15 Bn |
| 7 | Manhattan Associates | 13.68 Bn | 12.67 Bn | 168.33 Mn | 528.94 Mn |
| 8 | Costar | 13.35 Bn | 7.30 Bn | 728.00 Mn | 2.16 Bn |
| 9 | Bentley Systems | 11.88 Bn | 11.34 Bn | 336.74 Mn | 2.26 Bn |
| 10 | Phreesia | 741.30 Mn | 741.30 Mn | 110.19 Mn | 274.69 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 274.69 Mn |
| Apr 30, 2026 | 306.98 Mn |
| Jan 31, 2026 | 326.54 Mn |
| Oct 31, 2025 | 103.10 Mn |
| Jul 31, 2025 | 110.60 Mn |
| Apr 30, 2025 | 117.96 Mn |
| Jan 31, 2025 | 123.42 Mn |
| Oct 31, 2024 | 120.98 Mn |
| Jul 31, 2024 | 110.82 Mn |
| Apr 30, 2024 | 117.90 Mn |
| Jan 31, 2024 | 116.02 Mn |
| Oct 31, 2023 | 105.76 Mn |
| Jan 31, 2023 | 82.24 Mn |
| Jan 31, 2020 | 56.89 Mn |
| Oct 31, 2019 | 53.42 Mn |
| Jul 31, 2019 | 60.13 Mn |
| Jan 31, 2019 | 264.74 Mn |
API Access
Phreesia Total Non-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-non-current-liabilities&ticker=PHR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "PHR", "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-non-current-liabilities&ticker=PHR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();