Samsara (IOT) Change in Accured Expenses (2021 - 2026)
Samsara (IOT) reported Change in Accured Expenses of $34.27 million for fiscal Q2 2027 (quarter ended Aug 1, 2026), up 114.2% from $16 million a year earlier.
Samsara (IOT) Change in Accured Expenses (2021 - 2026) Analysis & Trends
Over the twelve months ended Aug 1, 2026, Samsara's Change in Accured Expenses came in at $121.81 million, up 406.9% year-over-year; for FY2026 (ended Jan 31, 2026), it came in at $97.72 million, up 162.1% from FY2025.
- Change in Accured Expenses has increased for three consecutive fiscal years, with a five-year compound annual growth rate of 43.2% (FY2021 to FY2026).
- By fiscal year, Change in Accured Expenses came in at $37.28 million in FY2025 (+40.2%), $26.6 million in FY2024 (+97.2%), $13.49 million in FY2023 (-80.7%) and $69.93 million in FY2022 (+330.3%).
- Five-year quarterly Change in Accured Expenses spans a low of -$31.24 million in fiscal Q1 2026 and a high of $99.74 million in fiscal Q4 2026.
- The high point for year-over-year Change in Accured Expenses in five years was fiscal Q3 2023 (growth of 145.5%); the low point was fiscal Q3 2024 (a decline of 81.9%).
- Per Business Quant data, the three fiscal quarters before Q2 2027 came in at -$25.42 million (Q1 2027), $99.74 million (Q4 2026) and $13.22 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | 50,912.00 |
| 2 | Veeva Systems | 44.24 Bn | 16.49 Bn | 695.95 Mn | -10.50 Mn |
| 3 | Samsara | 24.06 Bn | 20.83 Bn | 392.58 Mn | 34.27 Mn |
| 4 | Toast | 17.18 Bn | 9.85 Bn | 516.00 Mn | 57.00 Mn |
| 5 | Ptc | 15.95 Bn | 14.76 Bn | 490.47 Mn | 133.18 Mn |
| 6 | Duolingo | 13.49 Bn | 8.67 Bn | 216.74 Mn | 1.20 Mn |
| 7 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | 42.10 Mn |
| 8 | Manhattan Associates | 11.90 Bn | 10.90 Bn | 168.33 Mn | 20.69 Mn |
| 9 | Costar | 11.09 Bn | 5.06 Bn | 728.00 Mn | 33.00 Mn |
| 10 | Bentley Systems | 9.73 Bn | 9.19 Bn | 336.74 Mn | 21.64 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 34.27 Mn |
| May 2, 2026 | -25.42 Mn |
| Jan 31, 2026 | 99.74 Mn |
| Nov 1, 2025 | 13.22 Mn |
| Aug 2, 2025 | 16.00 Mn |
| May 3, 2025 | -31.24 Mn |
| Feb 1, 2025 | 51.07 Mn |
| Nov 2, 2024 | -11.81 Mn |
| Aug 3, 2024 | 7.69 Mn |
| May 4, 2024 | -9.66 Mn |
| Feb 3, 2024 | 26.80 Mn |
| Oct 28, 2023 | 5.04 Mn |
| Jul 29, 2023 | 3.26 Mn |
| Apr 29, 2023 | -8.51 Mn |
| Jan 28, 2023 | 22.88 Mn |
| Oct 29, 2022 | 27.82 Mn |
| Jul 30, 2022 | -26.99 Mn |
| Apr 30, 2022 | -10.23 Mn |
| Jan 29, 2022 | 34.46 Mn |
| Oct 30, 2021 | 11.33 Mn |
Samsara 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=IOT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "ticker": "IOT", "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=IOT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();