PagerDuty (PD) Total Non-Current Liabilities (2019 - 2026)
PagerDuty's Total Non-Current Liabilities came in at $711.43 million for fiscal Q2 2027 (quarter ended Jul 31, 2026), up 0.8% from $705.74 million a year earlier and up 0.3% from the prior quarter.
PagerDuty (PD) Total Non-Current Liabilities (2019 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), PagerDuty's Total Non-Current Liabilities was $731.78 million, down 7.7% from FY2025.
- Total Non-Current Liabilities carries a five-year compound annual growth rate of 11.6% (FY2021 to FY2026).
- Going back by fiscal year, Total Non-Current Liabilities was $792.78 million in FY2025 (+5.9%), $748.43 million in FY2024 (+30.7%), $572.71 million in FY2023 (+6.8%) and $536.31 million in FY2022 (+26.8%).
- The five-year range for quarterly Total Non-Current Liabilities is $504.44 million (fiscal Q3 2022) to $792.78 million (fiscal Q4 2025).
- Year-over-year, Total Non-Current Liabilities increased in four of the last eight quarters, with an average decline of 1.5%.
- The fastest year-over-year change in Total Non-Current Liabilities over five years came in fiscal Q2 2025 (growth of 38.1%), and the weakest in fiscal Q1 2027 (a decline of 8.6%).
- Business Quant data shows PD's Total Non-Current Liabilities at $709.22 million (Q1 2027), $731.78 million (Q4 2026) and $702.54 million (Q3 2026) in the three fiscal quarters before Q2 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 319.55 Bn | 304.63 Bn | 2.30 Bn | 19.68 Bn |
| 2 | CrowdStrike Holdings | 265.46 Bn | 245.90 Bn | 1.10 Bn | 6.57 Bn |
| 3 | Fortinet | 129.36 Bn | 115.29 Bn | 1.64 Bn | 9.17 Bn |
| 4 | Snowflake | 115.65 Bn | 102.97 Bn | 1.04 Bn | 6.45 Bn |
| 5 | Datadog | 96.45 Bn | 78.09 Bn | 881.34 Mn | 3.16 Bn |
| 6 | Axon Enterprise | 34.50 Bn | 29.03 Bn | 546.45 Mn | 3.68 Bn |
| 7 | Okta | 33.79 Bn | 23.89 Bn | 641.00 Mn | 2.11 Bn |
| 8 | Zscaler | 32.51 Bn | 18.63 Bn | - | 5.20 Bn |
| 9 | Baidu | 29.59 Bn | -44.04 Bn | 1.47 Mn | 12.63 Bn |
| 10 | PagerDuty | 1.14 Bn | -779.40 Mn | 104.40 Mn | 711.43 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 711.43 Mn |
| Apr 30, 2026 | 709.22 Mn |
| Jan 31, 2026 | 731.78 Mn |
| Oct 31, 2025 | 702.54 Mn |
| Jul 31, 2025 | 705.74 Mn |
| Apr 30, 2025 | 776.22 Mn |
| Jan 31, 2025 | 792.78 Mn |
| Oct 31, 2024 | 750.30 Mn |
| Jul 31, 2024 | 747.11 Mn |
| Apr 30, 2024 | 745.80 Mn |
| Jan 31, 2024 | 748.43 Mn |
| Oct 31, 2023 | 712.68 Mn |
| Jul 31, 2023 | 541.09 Mn |
| Apr 30, 2023 | 544.83 Mn |
| Jan 31, 2023 | 572.71 Mn |
| Oct 31, 2022 | 539.84 Mn |
| Jul 31, 2022 | 530.82 Mn |
| Apr 30, 2022 | 525.26 Mn |
| Jan 31, 2022 | 536.31 Mn |
| Oct 31, 2021 | 504.44 Mn |
PagerDuty 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=PD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "PD", "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=PD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();