PagerDuty (PD) Change in Accured Expenses (2018 - 2026)
PagerDuty (PD) posted Change in Accured Expenses of $2.26 million for fiscal Q2 2027 (quarter ended Jul 31, 2026), compared with -$996,000 a year earlier.
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Analysis
PagerDuty (PD) Change in Accured Expenses (2018 - 2026) Analysis & Trends
For the trailing twelve months through Jul 31, 2026, Change in Accured Expenses at PagerDuty was -$5.09 million; for FY2026 (ended Jan 31, 2026), it was -$12.18 million.
- In prior fiscal years, PagerDuty's Change in Accured Expenses was $6.91 million in FY2025, -$11.83 million in FY2024, $6.15 million in FY2023 (-9.1%) and $6.77 million in FY2022 (-39.5%).
- The fiscal Q2 2027 figure stands as the highest quarterly Change in Accured Expenses since fiscal Q4 2025.
- The strongest year-over-year quarter for Change in Accured Expenses in the past five years was fiscal Q4 2023, with growth of 149.4%; the weakest was fiscal Q4 2024, with a decline of 83.2%.
- According to Business Quant data, Change in Accured Expenses for the three prior fiscal quarters was -$4.49 million (Q1 2027), -$2.42 million (Q4 2026) and -$428,000 (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 328.64 Bn | 313.71 Bn | 2.30 Bn | 369.00 Mn |
| 2 | CrowdStrike Holdings | 276.50 Bn | 256.94 Bn | 1.10 Bn | 72.38 Mn |
| 3 | Fortinet | 132.74 Bn | 118.67 Bn | 1.64 Bn | 75.10 Mn |
| 4 | Snowflake | 120.19 Bn | 107.50 Bn | 1.04 Bn | 108.85 Mn |
| 5 | Datadog | 99.51 Bn | 81.15 Bn | 881.34 Mn | 6.98 Mn |
| 6 | Okta | 35.35 Bn | 25.44 Bn | 641.00 Mn | -2.00 Mn |
| 7 | Axon Enterprise | 33.58 Bn | 28.10 Bn | 546.45 Mn | 256.58 Mn |
| 8 | Zscaler | 32.06 Bn | 18.18 Bn | - | - |
| 9 | MongoDB | 28.84 Bn | 19.30 Bn | 569.77 Mn | 43.09 Mn |
| 10 | PagerDuty | 1.21 Bn | -709.40 Mn | 104.40 Mn | 2.26 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 2.26 Mn |
| Apr 30, 2026 | -4.49 Mn |
| Jan 31, 2026 | -2.42 Mn |
| Oct 31, 2025 | -428,000.00 |
| Jul 31, 2025 | -996,000.00 |
| Apr 30, 2025 | -8.34 Mn |
| Jan 31, 2025 | 2.91 Mn |
| Oct 31, 2024 | 4.83 Mn |
| Jul 31, 2024 | 2.61 Mn |
| Apr 30, 2024 | -3.44 Mn |
| Jan 31, 2024 | 1.26 Mn |
| Oct 31, 2023 | 5.71 Mn |
| Jul 31, 2023 | -1.51 Mn |
| Apr 30, 2023 | -17.29 Mn |
| Jan 31, 2023 | 7.50 Mn |
| Oct 31, 2022 | 5.31 Mn |
| Jul 31, 2022 | 1.02 Mn |
| Apr 30, 2022 | -7.68 Mn |
| Jan 31, 2022 | 3.01 Mn |
| Oct 31, 2021 | 7.59 Mn |
API Access
PagerDuty Change in Accured Expenses 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=change-in-accured-expenses&ticker=PD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "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=change-in-accured-expenses&ticker=PD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();