PagerDuty (PD) Non-Current Assets (2019 - 2026)
PagerDuty (PD) reported Non-Current Assets of $379.2 million for fiscal Q2 2027 (quarter ended Jul 31, 2026), up 72.5% from $219.78 million a year earlier and up 0.4% from the prior quarter.
PagerDuty (PD) Non-Current Assets (2019 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), PagerDuty posted Non-Current Assets of $378.28 million, up 75.5% from FY2025.
- Non-Current Assets has a five-year compound annual growth rate of 19.2% (FY2021 to FY2026).
- By fiscal year, Non-Current Assets came in at $215.55 million in FY2025 (-3.0%), $222.11 million in FY2024 (+2.1%), $217.54 million in FY2023 (+34.8%) and $161.36 million in FY2022 (+2.7%).
- The fiscal Q2 2027 figure ranks as the highest quarterly Non-Current Assets in data going back to fiscal Q4 2019.
- Year over year, Non-Current Assets has now increased in each of the last five quarters, with growth averaging 37.4% over the last eight quarters.
- The high point for year-over-year Non-Current Assets in five years was fiscal Q1 2027 (growth of 76.8%); the low point was fiscal Q2 2024 (a decline of 7.2%).
- Per Business Quant data, the three fiscal quarters before Q2 2027 came in at $377.56 million (Q1 2027), $378.28 million (Q4 2026) and $368.86 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 319.55 Bn | 304.63 Bn | 2.30 Bn | 39.82 Bn |
| 2 | CrowdStrike Holdings | 265.46 Bn | 245.90 Bn | 1.10 Bn | 5.07 Bn |
| 3 | Fortinet | 129.36 Bn | 115.29 Bn | 1.64 Bn | 4.65 Bn |
| 4 | Snowflake | 115.65 Bn | 102.97 Bn | 1.04 Bn | 5.20 Bn |
| 5 | Datadog | 96.45 Bn | 78.09 Bn | 881.34 Mn | 1.54 Bn |
| 6 | Axon Enterprise | 34.50 Bn | 29.03 Bn | 546.45 Mn | 4.48 Bn |
| 7 | Okta | 33.79 Bn | 23.89 Bn | 641.00 Mn | 6.05 Bn |
| 8 | Zscaler | 32.51 Bn | 18.63 Bn | - | 2.84 Bn |
| 9 | Baidu | 29.59 Bn | -44.04 Bn | 1.47 Mn | 38.70 Bn |
| 10 | PagerDuty | 1.14 Bn | -779.40 Mn | 104.40 Mn | 379.20 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 379.20 Mn |
| Apr 30, 2026 | 377.56 Mn |
| Jan 31, 2026 | 378.28 Mn |
| Oct 31, 2025 | 368.86 Mn |
| Jul 31, 2025 | 219.78 Mn |
| Apr 30, 2025 | 213.51 Mn |
| Jan 31, 2025 | 215.55 Mn |
| Oct 31, 2024 | 212.62 Mn |
| Jul 31, 2024 | 215.53 Mn |
| Apr 30, 2024 | 217.07 Mn |
| Jan 31, 2024 | 222.11 Mn |
| Oct 31, 2023 | 205.68 Mn |
| Jul 31, 2023 | 209.01 Mn |
| Apr 30, 2023 | 211.61 Mn |
| Jan 31, 2023 | 217.54 Mn |
| Oct 31, 2022 | 220.39 Mn |
| Jul 31, 2022 | 225.18 Mn |
| Apr 30, 2022 | 226.78 Mn |
| Jan 31, 2022 | 161.36 Mn |
| Oct 31, 2021 | 155.93 Mn |
PagerDuty Non-Current Assets 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=non-current-assets&ticker=PD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "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=non-current-assets&ticker=PD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();